Gill Sans Bold. General Mathematics Preliminary Course Stage 6. PB Probability. Value. Term number

Size: px
Start display at page:

Download "Gill Sans Bold. General Mathematics Preliminary Course Stage 6. PB Probability. Value. Term number"

Transcription

1 Gill Sans Bold General Mathematics Preliminary Course Stage 6 PB Probability II II ELIZABETH ELIZABETH AUSTRALIA AUSTRALIA Value Term number Revised 2003 MG.Prelim P

2 Acknowledgments This publication is copyright Learning Materials Production, Open Training and Education Network Distance Education, NSW Department of Education and Training, however it may contain material from other sources which is not owned by Learning Materials Production. Learning Materials Production would like to acknowledge the following people and organisations whose material has been used. Extract from General Mathematics Stage 6 Syllabus Board of Studies NSW, originally issued The most up-to-date version can be found on the Board's website at All reasonable efforts have been made to obtain copyright permissions. All claims will be settled in good faith. Writer: Editor: Revised: Illustrator: Cover illustration: Layout: Jim Stamell Teresa Ashton, Jan Harte Margaret Willard Jim Stamell, Thomas Brown, Barbara Gurney, Angela Truscott Thomas Brown Gayle Reddy Copyright in this material is reserved to the Crown in the right of the State of New South Wales. Reproduction or transmittal in whole, or in part, other than in accordance with provisions of the Copyright Act, is prohibited without the written authority of Learning Materials Production. Learning Materials Production, Open Training and Education Network Distance Education, NSW Department of Education and Training, Wentworth Rd. Strathfield NSW Revised August 2002

3 Contents Module overview... iii Outcomes... iv Indicative time... iv Course overview...v Icons... vi Formula sheet...vii viii PB1 The language of chance Part 1 The language of chance PB2 Relative frequency and probability Part 1 Relative frequency Part 2 Calculating probabilities Introduction i

4 ii PB Probability

5 Module overview The main focus of this unit is to provide the foundation in Probability required for this area of study and to use these skills to solve real and abstract problems. This module addresses the Probability area of study and has two units. PB1 The language of chance. In this unit, students learn to use the language of probability, count outcomes and describe the sample space of an event. PB2 Relative frequency and probability. The main focus of this unit is to compare the relative frequency of events and calculate probability. The relative importance of Probability in relation to the whole preliminary course is demonstrated in the Course Overview. Note that the order of listing is by topic, and is not necessarily a prescribed sequence in which students will study the whole course. Introduction iii

6 Outcomes Within the various parts of this module each of the following outcomes will be addressed to some extent. A student: P1 develops a positive attitude to mathematics and appreciates its capacity to provide enjoyment and recreation P2 applies mathematical knowledge and skills to solving problems within familiar contexts P3 develops rules to represent patterns arising from numerical and other sources P4 represents information in symbolic, graphical and tabular forms P10 performs simple calculations in relation to the likelihood of familiar events P11 justifies his/her response to a given problem using appropriate mathematical terminology Extract from General Mathematics Stage 6 Syllabus Board of Studies NSW, originally issued The most up to date version can be found on the Board's website at Indicative time Students should allocate up to 16 hours of the total 120 course hours to this area of study, allowing approximately up to 5 hours for the first part, and up to 10 hours for the second part, and leaving time for revision and set assignment tasks or examinations. iv PB Probability

7 Course overview Financial Mathematics FM1 Earning money FM2 FM3 Investing money Taxation Data Analysis DA1 Statistics and society DA2 DA3 DA4 Data collection and sampling Displaying single data sets Summary statistics Measurement M1 Units of measurement M2 M3 M4 Applications of area and volume Similarity of two dimensional figures Right angled triangles Probability PB1 The language of chance PB2 Relative frequency and probability Algebraic Modelling AM1 Basic algebraic skills AM2 Modelling linear relationships Introduction v

8 Icons The following icons are used within this module. The meaning of each icon is written beside it. There is an activity for you to do. You may need to collect data or make something. You need to use a computer for this activity. There are examples with solutions for you to work through. There is a review exercise for you to complete. For the latest version of the General Mathematics formula sheets go to _gen_02.pdf on the Board of Studies web site. vi PB Probability

9 2002 HIGHER SCHOOL CERTIFICATE EXAMINATION General Mathematics FORMULAE SHEET Area of an annulus A = p R -r R r Area of an ellipse A a b Area of a sector A q q p r 360 Arc length of a circle l q f d d m l = = = pab = = = = = = 2 2 ( ) q pr Simpson s rule for area approximation A ª h ( d f + 4 d m + d l ) 3 h = distance between successive measurements d = first measurement = = radius of outer circle radius of inner circle length of semi-major axis length of semi-minor axis 2 number of degrees in central angle number of degrees in central angle middle measurement last measurement Surface area Sphere Closed cylinder A = 2prh + 2pr r h Volume Cone Cylinder Pyramid Sphere r h A Sine rule radius perpendicular height 1 V = Ah V = pr 3 radius perpendicular height area of base Area of a triangle Cosine rule or = = = = = A 1 2 V = pr h 3 2 V = pr h a b c = = sin A sin B sinc 1 A = absinc c = a + b -2abcosC C a + cos = b - c 2ab 2 = 4pr 2

10 FORMULAE SHEET Simple interest I = Prn P r n Compound interest A = P 1 + r A P n r Future value ( A) of an annuity A M 1 + r 1 MÌ r Ó Present value ( N) of an annuity N or N = = = = = = = = = = = initial quantity percentage interest rate per period, expressed as a decimal number of periods ( ) n final balance initial quantity number of compounding periods percentage interest rate per compounding period, expressed as a decimal n Ï( ) - contribution per period, paid at the end of the period n ( ) - Ï 1 + r 1 MÌ n Ó r( 1 + r) A ( 1 + r) n Straight-line formula for depreciation S = V - Dn 0 S = salvage value of asset after n periods V0 = D = purchase price of the asset amount of depreciation apportioned per period n = number of periods Declining balance formula for depreciation S = V -r S r Mean of a sample x x x x n f x n fx f Formula for a z-score z s x - x s Gradient of a straight line m = = = = = = = = = = = ( ) Gradient intercept form of a straight line y = mx + b m = b = 0 1 Â Â Â gradient y-intercept Probability of an event n salvage value of asset after n periods percentage interest rate per period, expressed as a decimal individual score mean number of scores frequency standard deviation vertical change in position horizontal change in position The probability of an event where outcomes are equally likely is given by: number of favourable outcomes P(event) = total number of outcomes

11 Gill Sans Bold General Mathematics Preliminary Course Stage 6 PB1 The language of chance Part 1 The language of chance II II ELIZABETH ELIZABETH AUSTRALIA AUSTRALIA Value Term number Revised 2003

12 Gill Sans Bold Contents Introduction Talking chances More on language Sample space Number of outcomes for a multi-stage event More on combinations Terminology Exercise The language of chance Appendix Student evaluation Answers Part 1 The language of chance 1

13 2 PB1 The language of chance

14 Gill Sans Bold Introduction This part covers the basics of probability, an area of study of interest in our everyday lives. Specific content outcomes By the end of this Part, you will have been given opportunities to: order everyday events from the very unlikely to the almost certain use a list or table to identify the sample space determine whether or not the outcomes from an experiment are equally likely determine the outcomes for a multi-stage event use systematic lists to verify the total number of outcomes. Students of Distance Education Centres only: there is a page at the back for you to fill in when you have finished the work. Please say how easy/hard/interesting you find this work; ask relevant questions and return the comments with your work. Part 1 The language of chance 3

15 1.1 Talking chances Chance is a part of our everyday lives and probability is the study of chance events. Our language contains many words which talk about chance. There is a good chance the home team will win the game tomorrow. It is more than likely there will be a thunderstorm this afternoon. I think I have a chance of getting that job. Mary is hopeful she will go on an overseas holiday next year. I m almost certain Mrs Ashton will have a girl. Unless you study, the odds are against your passing the test. Sometimes we assign numbers to events according to how confident we are that they might happen. For example, we might say there is a 20% chance that the home team will win the game tomorrow. Be careful when numbers are used like this as they may not have any mathematical or statistical meaning! 4 PB1 The language of chance

16 Gill Sans Bold Our everyday language has many terms about the likelihood of an event occurring, for example: certain impossible odds against one in a million doubtful likely unexpected definite unlikely unsure sure perhaps possible odds on fluke improbable hopeful maybe even chance conceivable Buckley s chance lucky off-chance no way Exercise 1.1a 1 Choose two terms from the previous list which refer to: a an event which will happen b an event which will not happen c an event which may happen d an event just as likely to happen as not happen. Mathematically speaking An event which will never happen has a probability of zero. We say the event is impossible. An event which will definitely happen has a probability of one. We say the event is certain. Part 1 The language of chance 5

17 Here is a probability line from zero (impossible event) to one (certain event). As the probability of an event moves from zero towards one, the event becomes more likely. Impossible for the event to occur Example: the probability of a man becoming pregnant or 1 2 Event will definitely occur Example: the probability of finding sand on Bondi Beach. What do you think a probability of 0.5 or 1 2 means? Solution It means that an event with a probability of 0.5 is just as likely to happen as not to happen. 6 PB1 The language of chance

18 Gill Sans Bold Exercise 1.1b 1 Here are some probability statements used in everyday language: even chance odds against 5 50 surely impossible certain odds on doubtful off-chance one in a million On the diagram, write each of these terms in an oval, indicating with an arrow where the term might appear on the probability line. Even chance has been done for you. It's definitely a happening thing! Well... it could happen. even chance But then, it just as likely won't! It's just NOT going to happen! [There is another copy of this diagram in the Appendix.] 2 Imagine a drawer full of black socks. You enter the room in pitch darkness looking for socks. If you reach into the drawer and take out any sock, what is the probability that it will be: a a black sock? b a red sock? 3 a Now imagine that the drawer has an equal number of blue and black socks. If you reach into the drawer and take out a sock, what is the probability it will be: i a black sock? ii a blue sock? iii a red sock? iv a sock? Part 1 The language of chance 7

19 b What s the least number of socks you d need to take out of this drawer to make sure you have a matched pair? 4 Label the following events as possible, impossible, certain or uncertain. a Hope wins the lottery but has no lottery ticket. b Shirley wins the lottery after buying all the tickets. c Prudence wins the lottery after buying a ticket. d Burl wins the lottery after buying half the tickets. 5 Comment on the statement: Since it either rains or is fine, the probability of a fine day is What is meant by a one in 300 year flood? Explain. Investigation activity Meteorologists (weather forecasters) often make statements such as there is a 60% chance of rain tomorrow. Investigate how they arrive at such numbers. Internet address The Bureau of Meteorology has a website which has lots of information about the weather 8 PB1 The language of chance

20 Gill Sans Bold 1.2 More on language The Macquarie Dictionary defines chance as: the absence of any known reason why an event should turn out one way rather than another a possibility the probability of anything happening. Probability is defined as the likelihood or chance of something happening. Probability can be represented on a scale from zero (impossible) to one (certain) as you saw in the last section. The following diagrams may help you to answer questions in Exercise 1.2. The likelihood of an event becomes more certain and less unlikely from left to right. 0 impossible 1 2 The likelihood of an event becomes less certain and more unlikely from right to left. 1 certain fluke lucky hopeful off chance improbable unexpected conceivable unsure doubtful unlikely odds against perhaps possible one in a million incredible maybe likely credible almost certain 1 odds on expected sure thing safe bet good chance surely Part 1 The language of chance 9

21 a die The black suits: clubs and spades The red suits: hearts and diamonds a pair of dice Each suit has an: Ace, 2, 3, 4, 5, 6, 7, 8, 9, 10, Jack, Queen and King. The Ace can act as a one or the highest card. The Jack, Queen and King are called picture cards or royal cards. Exercise Use an everyday term to describe the possibility of the events listed below. a There will be rain somewhere in Australia this year. b All Tasmanians will move to the mainland. c No Australians will be smokers by the year d Tossing a six with a normal die. e Tossing a seven with a normal die. f Throwing an odd number with a normal die. g Throwing a total of seven with a normal pair of dice. h Choosing a black card from a full deck of cards. i Drawing a two from a stack of picture cards. j Picking a heart from a stack of black cards. 2 Explain the following expressions. a Once in a blue moon. b It was left to chance. c They have Buckley s chance of winning. d Hope against hope. e A snowflake s chance in hell. 10 PB1 The language of chance

22 Gill Sans Bold 3 A die is rolled. Arrange the following events from least likely to most likely. One event has been done for you. [A copy of this diagram is also in the Appendix. DEC students may need to return the diagram for marking.] 1 Event rolling an 8 less likely more likely Probability 1 2 rolling a number from 1 6 rolling an odd number rolling a 4 0 rolling an even number Part 1 The language of chance 11

23 1.3 Sample space An outcome is the result of an experiment or game. For example, getting a six is an outcome when a die is rolled. A sample space is the set of all possible outcomes. For example, when a die is rolled the sample space has six outcomes {1, 2, 3, 4, 5, 6}. When two unbiased coins are tossed simultaneously there are three possible results: two heads a head and a tail two tails. Notice that there are two ways of getting a head and a tail. This sample space contains four outcomes. Two outcomes (HT and TH) make up the event of getting one of each kind and the other two outcomes (HH and TT) make up the event getting two of a kind. We must be very careful in experiments like this to make sure we include all the possible outcomes in the sample space. In any given number of trials, the set of all possible outcomes is called the sample space. 12 PB1 The language of chance

24 Gill Sans Bold 1 List the sample space when a coin is tossed once. 2 List the sample space when two coins are tossed. 3 What is the sample space for choosing a vowel? Solutions 1 The sample space is S = {heads, tails} or S = {H, T} 2 The sample space is S = {HH, HT, TH, TT} 3 Sample space is S = {a, e, i, o, u} Exercise 1.3a 1 What is the sample space for each of these spinners? a b c 2 A bag contains six blue marbles and three white marbles. What is the sample space when a marble is selected? In a family there are two children. What is the sample space in terms of boys and girls? 4 In another family there are three children. What is the possible sample space now? 5 Three coins are tossed. List the sample space. 6 The first 12 letters of the alphabet are written on separate cards and put into a bag. One card is taken out. What is the sample space? Part 1 The language of chance 13

25 Large sample spaces For large sample spaces you use a list, table or tree diagram. 1 In a family there are four children. List the elements of the sample space using: a a list b a table c a tree diagram Solutions 1 There are 16 elements in the sample space. a Start the list with four boys and look at the pattern as you go down. BBBB BBBG BBGB BBGG BGBB BGBG BGGB BGGG GBBB GBBG GBGB GBGG GGBB GGBG GGGB GGGG b The table is drawn up by considering two arrangements of two children at a time, BB, BG, GB and GG. BB BG GB GG BB BBBB BBBG BBGB BBGG BG BGBB BGBG BGGB BGGG GB GBBB GBBG GBGB GBGG GG GGBB GGBG GGGB GGGG c 1st child 2nd child 3rd child 4th child sample space B G B G B G B G B G B G B G B G B G B G B G B G B G B G B G BBBB BBBG BBGB BBGG BGBB BGBG BGGB BGGG GBBB GBBG GBGB GBGG GGBB GGBG GGGB GGGG 14 PB1 The language of chance

26 Gill Sans Bold Exercise 1.3b 1 List the outcomes in the sample space when four coins are tossed? 2 The different colours of M&M s in a packet are: brown, green, orange, red, tan and yellow. Two M&M s are selected from a packet. What are the possible colour combinations? 3 Two dice are tossed. List the elements of the sample space. 4 The vowels [a, e, i, o, u] are each written on a separate card and put into a hat. Two cards are randomly drawn out. What is the sample space for this experiment if: a the first card is replaced before drawing out the second. b the first card is not replaced before drawing out the second. 5 Assume four people are asked to agree or disagree about some issue. What is the sample space if exactly two of the four people agree with the issue? 6 A set of five playing cards consists of the following: Jack of Hearts (a red card) Jack of Clubs (a black card) Eight of Hearts (a red card) Eight of Spades (a black card) Eight of Diamonds (a red card). Suppose one card was selected at random. a What colour is it most likely to be? b What suit (Hearts, Clubs, Spades, Diamonds) is it likely to be? c d True or false. An Eight has three times the chance of being chosen as a Jack. Two cards are drawn at random. How many elements would there be in the sample space? Part 1 The language of chance 15

27 1.4 Number of outcomes for a multi-stage event An older poker machine has a number of reels which can be made to spin by the use of a handle. Each reel has twenty symbols. The machine pays small prizes for certain frequent combinations and larger jackpot prizes for rare combinations. Note: in a club or hotel the types and numbers of symbols on each reel can be controlled and prizes calculated accordingly. The club or hotel will always win! Let us examine the possible outcomes for a poker machine with two reels of four symbols. First reel Second reel cactus cowboy skull cowboy horse guitar steer cowboy boots 1 How many possible arrangements are there? 2 How many ways can you get a horse/cowboy combination? 3 How many arrangements would be possible for a poker machine with: a 2 reels; 5 symbols on each b 2 reels; 9 symbols on each c 2 reels; 12 symbols on the first and 15 on the second 16 PB1 The language of chance

28 Gill Sans Bold d e f g 2 reels; 20 symbols on the first and 16 on the second 3 reels; 4 symbols on each 3 reels; 12, 15 and 18 symbols 3 reels; 10 symbols on the first and third and 15 on the second? Solutions 1 Draw a tree diagram to systematically list all possible combinations. Reel arrangements Display pairs There are 16 combinations. ÈNote: Í Î 16 = Two ways 2 reels means you multiply 2 numbers 4 symbols on each reel means you multiply 4 by 4 84 reels; 20 symbols on each Solution 3 a 5 5 = 25 b 9 9 = 81 Part 1 The language of chance 17

29 c = 180 d = e = 4 = 64 f = 3240 g = h = 20 = Note: a typical poker machine has 4 reels, each with 20 symbols. Since there are possible combinations, if you are trying to win a jackpot you probably have only a 1 in chance (or % chance) of getting it! Exercise 1.4 Calculate the number of possible combinations for the following number of reels and symbols: 1 4 reels, 5 symbols on each 2 4 reels, 9 symbols on each 3 4 reels, 20 symbols on each 4 5 reels, 12 symbols on each 5 5 reels, 15 symbols on each 6 5 reels, 20 symbols on each 18 PB1 The language of chance

30 Gill Sans Bold 1.5 More on combinations In the previous section you found the number of outcomes for a multi-stage event by multiplying the number of choices at each stage. For example: a poker machine with three reels of 12, 15 and 20 symbols has = 3600 possible combinations. choosing 2 different vowels from the set {a, e, i, o, u} has 5 4 = 20 possible combinations. Note: for the poker machine, choosing a symbol on one reel does not affect the choice for the other reels. However, for the vowels, the first choice impacts on the second choice. There is one less choice for the second vowel. In how many ways can three letters be placed in three envelopes? Solution Method 1 Use a table First envelope Letter 1 Second envelope Letter 2 Letter 3 Third envelope Letter 3 Letter 2 Letter 2 Letter 1 Letter 3 Letter 3 Letter 1 Letter 3 Letter 1 Letter 2 Letter 2 Letter 1 Part 1 The language of chance 19

31 Method 2 Use a tree diagram E1 E2 E3 L1 L2 L3 L2 L3 L1 L3 L1 L2 L3 L2 L3 L1 L2 L1 Note: since you do not actually have to list all outcomes in the sample space, there is a simpler way of finding the number of outcomes. In this example, once a letter is placed into an envelope it cannot be used again. So, there are three choices for the first envelope, two choices for the second envelope and only one for the third envelope. No. of ways = = 6. In the following exercises you will need to decide whether choices are affected or not. Exercise In how many ways can you place four letters in four separate envelopes? 2 At a school dance there are six couples. How many different male-female pairs are possible for a particular dance? 3 At a restaurant the menu has: four entrées ten main courses and five desserts. How many different three-course meals are possible? 20 PB1 The language of chance

32 Gill Sans Bold 4 Braille is a system of touch reading and writing for blind persons in which raised dots represent the letters of the alphabet. Each Braille cell has six dots which can be raised or not raised. Two possible combinations are shown. How many possible combinations are there? 5 The original Morse code used short electrical signals (dots, ) and long electrical signals (dashes, ). For example, the letter E consists of one dot ( ) but the letter P consists of two dots and two dashes ( ). Each letter has up to four dots or dashes. a How many possibilities are there if: i one symbol (dot or dash) is allowed ii two symbols are allowed iii three symbols are allowed iv four symbols are allowed. b How many dot/dash combinations are possible? c d Why is a maximum of four dot/dash combinations sufficient to represent the alphabet? The American Morse code uses up to five dot/dash combinations to represent the letters of the alphabet. What is the total number of combinations possible? 6 Computers use binary digits (or bits) instead of decimal digits. Bits have two possible values: 0 or 1. If there are eight bits in a byte, how many different bytes are possible? 1 byte = 8 bits 7 In Australia, postcodes consist of four digits, with postcodes in NSW beginning with two. a How many possible NSW postcodes are there? b Australian postcodes begin with 0,2,3,4,5,6 or 7. How many postcodes are possible in Australia? c In Tasmania postcodes run from 70 to 74. How many postcodes does Tasmania have? 2224 Part 1 The language of chance 21

33 8 Most NSW car number plates consist of three letters and three numbers a How many number plates are possible? b What do you think could be done if NSW needs more number plates? DTI About 40 years ago telephone numbers in Sydney consisted of two letters followed by four numbers. The letters used were: A B F J L M U W X Y a How many combinations were possible? b Today most telephone numbers consist of up to eight digits. Why did the system change? Investigation activity 1 Investigate whether all possibilities of raised dots are used in Braille. 2 Investigate how numbers and punctuation marks are represented in Morse code. 3 Collect a number of statements from various media involving the language of probability. Good sources are newspapers, magazines, radio, television or the Internet. Write a comment for each statement. 22 PB1 The language of chance

34 Gill Sans Bold Terminology Do you understand the following words or expressions? Look back in your notes, if necessary, and give your explanations here. chance probability sample space outcome multi-stage event Part 1 The language of chance 23

35 24 PB1 The language of chance

36 Gill Sans Bold Exercise -The language of chance 1 Name a game which relies totally on chance. Explain why skill would have no influence on the outcome of such a game. 2 Write down two sentences of your own which show that chance and possibilities are used in everyday language. 3 What is meant by the following terms: a b one in a million c odds against. 4 Comment on the use of numbers in this statement: "I think St. George has a 90% chance of winning the premiership this year". 5 Three coins are tossed simultaneously. In how many ways can you get: a two tails and one head? b two heads or three heads? 6 In a bag are four coloured marbles: red, yellow, blue, green. Two marbles are drawn at random. a How many elements in this sample space? b List the elements in the sample space. 7 What is the total number of ways you can place 5 letters in five different envelopes? Part 1 The language of chance 25

37 8 In one bag there are 26 cards printed with a letter of the alphabet. Another bag has cards with each of the letters of the word PROBABILITY. A student randomly selected one card from each bag and found that the letter B was on each card. He commented that the chance of selecting this letter must have been the same. Do you agree? Explain. 9 A poker machine has three reels with the following numbers of symbols. Symbol First reel Second reel Third reel a b How many symbols altogether are on each reel? How many possible arrangements are there? c In how many ways can three be spun up? d Which is more likely to occur: or? e How many ways can you get in this order? 10 Semaphore flag signalling is a system based on the waving of a pair of hand-held flags in a particular pattern. There are eight possible positions to hold each flag. How many signals are possible? 11 A, B, and C are towns. There are three ways to get from A to B and four ways to get from B to C. How many possible ways are there to get from A to C? 26 PB1 The language of chance

38 Gill Sans Bold Appendix Copy of diagram for question 1 in Exercise 1.1b It's definitely a happening thing! Well... it could happen. even chance But then, it just as likely won't! It's just NOT going to happen! Part 1 The language of chance 27

39 Copy of diagram question 3 Exercise Event rolling an 8 less likely more likely Probability 1 2 rolling a number from 1 6 rolling an odd number rolling a 4 0 rolling an even number 28 PB1 The language of chance

40 Gill Sans Bold Student evaluation When you have finished this unit of work see if you can do these things. Tick if you can do them with confidence: Order everyday events from the very unlikely to the almost certain Use a list or table to identify the sample space can do with confidence need more help Determine whether or not the outcomes from an experiment are equally likely Determine the outcomes for a multi-stage event Use systematic lists to verify the total number of outcomes. Ask for further help with any you feel unsure about. Please write your questions and any other comments here. Part 1 The language of chance 29

41 30 PB1 The language of chance

42 Gill Sans Bold Answers Exercise 1.1a 1 a certain, definite b impossible; Buckley s chance; no way c Many of the words in the list mean that something may happen. d even chance; Exercise 1.1b 1 Note: except for the terms which relate to the probabilities of 0, 1 and, 1 2, where you place a term along the line is personal. The diagram below shows how one person feels about the terms. It's definitely a happening thing! odds on off chance Well... it could happen. certain one in a million even chance But then, it just as likely won't! surely It's just NOT going to happen! impossible doubtful odds against 2 a 1 b 0 3 a i 1 2 ii 1 2 iii 0 iv 1 b Three since the first two you take out may or may not be a pair but the third one has to match at least one of them 4 a impossible b certain c possible d possible Part 1 The language of chance 31

43 5 While there are two outcomes here (ignoring for the moment other possibilities) each outcome is not equally likely. For NSW at least, it is more likely not to rain than to rain so probability is definitely not The chance of the flood is very unlikely. If there is any mathematical basis to the number 300 years, it might be that over a very long period of time the flood would occur on average this often. This by no means indicated it floods once every 300 years. Exercise Note: except for the terms which relate to the probabilities of 0, 1 and 1 2, the terms you choose are open to personal interpretation. a certain b unlikely c doubtful d possible e impossible f even chance g possible h even chance i impossible j impossible 2 (Use a dictionary, or other source, to find the answers.) 3 1 Event rolling an 8 less likely more likely Probability 1 2 rolling a number from 1 6 rolling an odd number rolling a 4 0 rolling an even number 32 PB1 The language of chance

44 Gill Sans Bold Exercise 1.3a 1 a {1, 2, 3, 4} b {1, 2, 3, 4, 5, 6} c {1, 2, 3} 2 {B, B, B, B, B, B, W, W, W} 3 {BB, BG, GB, GG} Note: order is important here. For example, BG implies a younger boy whereas GB implies an older boy. 4 {BBB, BBG, BGB, BGG, GBB, GBG, GGB, GGG} 5 {HHH, HHT, HTH, HTT, THH, THT, TTH, TTT} 6 {A, B, C, D, E, F, G, H, I, J, K, L} Exercise 1.3b 1 {HHHH, HTHH, THHH, TTHH, HHHT, HTHT, THHT, TTHT, HHTH, HTTH, THTH, TTTH, HHTT, HTTT, THTT, TTTT} 2 {BB, BG, BO, BR, BT, BY, GB, GG, GO, GR, GT, GY, OB, OG, OO, OR, OT, OY, RB, RG, RO, RR, RT, RY, TB, TG, TO, TR, TT, TY, YB, YG, YO, YR, YT, YY} 3 {1 1, 1 2, 1 3, 1 4, 1 5, 1 6, 2 1, 2 2, 2 3, 2 4, 2 5, 2 6, 3 1, 3 2, 3 3, 3 4, 3 5, 3 6, 4 1, 4 2, 4 3, 4 4, 4 5, 4 6, 5 1, 5 2, 5 3, 5 4, 5 5, 5 6, 6 1, 6 2, 6 3, 6 4, 6 5, 6 6} 4 a {aa, ae, ai, ao, au, ea, ee, ei, eo, eu, ia, ie, ii, io, iu, oa, oe, oi, oo, ou, ua, ue, ui, uo, uu} b {ae, ai, ao, au, ea, ei, eo, eu, ia, ie, io, iu, oa, oe, oi, ou, ua, ue, ui, uo} (did you realise the sample space was the same as before except you can t have aa, ee, ii, oo, or uu?) 5 {YYNN, NNYY, YNYN, NYNY, YNNY, NYYN} (Y means agree; N means disagree) 6 a red b hearts c False. Eight has a 3 5 chance and Jack has a 2 5 chance. d 5 4 = 20, that is, five choices for first leaving four choices for second card. Exercise a 5 = 625 b 9 = 6561 c 20 4 = d 12 5 = e f Part 1 The language of chance 33

45 Exercise = = = =64 5 a i 2 ii 2 2 = 4 iii 2 3 = 8 iv 2 4 = 16 b = 30 c 26 letters in the alphabet and 30 possibilities d = = a = Note: 10 (0 to 9) ways to choose each digit b 7000 c a = b There are lots of possibilities: start again using different coloured plates; change the order of letter/number combinations; add more letters or numerals. ( ) ( ) = 9 a b Increasing population makes demands for more phones. More digits allow for more combinations. 34 PB1 The language of chance

46 Gill Sans Bold General Mathematics Preliminary Course Stage 6 PB2 Relative frequency and probability Part 1 Relative frequency II II ELIZABETH ELIZABETH AUSTRALIA AUSTRALIA Value Term number Revised 2003

47 Contents Introduction Experiment flipping coins Experiment dice and cards Relative frequency Experiments with relative frequency Talking it through...17 Terminology...25 Exercise Relative frequency...27 Student evaluation...29 Appendix...31 Answers...33 Part 1 Relative frequency 1

48 2 PB2 Relative frequency and probability

49 Gill Sans Bold Introduction This Part covers relative frequency of events and calculate probability. Specific content outcomes By the end of Part 1, you will have been given opportuniites to: perform simple experiments to obtain relative frequencies from recorded data estimate the relative frequencies of events from recorded data use relative frequencies to obtain approximate probabilities illustrate the results of experiments through statistical graphs and displays. Students of Distance Education Centres only: send in pages apply to students studying this course through Distance Education. Other students need not return these pages. There is a page at the back for you to fill in when you have finished the work. Please say how easy/hard/interesting you find this work; ask relevant questions and return the comments with your work. Part 1 Relative frequency 3

50 1.1 Experiment flipping coins A probability experiment usually involves repetition of a single planned action, such as flipping coins. The coins on the right all show heads. Those on the left show tails. Doug thinks that the chance of flipping a head or a tail should be the same. He flips the coin ten times and gets the following: He records his results on a tally sheet. Heads Tails 4 PB2 Relative frequency and probability

51 Gill Sans Bold Exercise a How many heads did Doug toss? b How many tails were flipped? c Does this support what Doug thinks the results might be? Why? 2 Doug tosses the coin another ten times and gets five heads and five tails. a b Does this support what Doug thinks the results might be? Give a reason for your answer. Add the score for the second round of ten tosses to the tally sheet on the previous page. 3 Doug tosses the coin: ten more times and gets seven heads and three tails another ten times and gets three heads and seven tails another ten times and gets six heads and four tails a Add these tosses to the tally sheet. b How many heads (H) and tails (T) did he get in the first 50 tosses? 4 Here are the next 50 tosses: a Record the results on the tally sheet. b Give the results of coin tosses c What are the cumulative results of the 100 coin tosses? d How do these results fit with Doug s expectation? Part 1 Relative frequency 5

52 Investigation activity You will need a 20c coin for this exercise. 1 a Flip your coin ten times and record the number of heads and tails on the tally sheet. b Repeat for tosses c Continue in sets of ten until you reach 100 tosses. Tally Cumulative scores Heads Tails Tosses Heads Tails Use the cumulative scores to draw a column graph Consider the number of heads and tails for the first 20 tosses, 50 tosses, 80 tosses, 100 tosses. Comment on your results as the sample size increases. 6 PB2 Relative frequency and probability

53 Gill Sans Bold 1.2 Experiment dice and coins The first part of this section looks at dice and the second part looks at cards. Dice You will need a die and a cup to shake it for the first exercise. Exercise 1.2a 1 Examine your die to answer the following. a What number is on the face opposite the six? b What number is on the face opposite the two? c What number is on the face opposite the four? d What do opposite faces on a die add up to? 2 a Answer true or false to the following statements. b i ii iii The chance of rolling a six is the same as rolling any other number. The chance of rolling an even number is greater than the chance of rolling an odd number. There are six possible results when a die is rolled. What do you think will happen if a die is biased, that is, not evenly weighted? 3 a If you rolled a fair die 60 times, how many times would you expect to roll a three? Give a reason for your answer. Part 1 Relative frequency 7

54 b Would this definitely happen if you did roll a die 60 times? Why? 1 Roll a die and record the result on the tally sheet. For example, if you roll a four, put a stroke in the four column. 2 a Repeat another 59 times, marking the tally sheet each roll. b Total the results for the 60 rolls and put in the Score 1 60 rolls row. Uppermost face Tally Score 1-60 rolls Score rolls 3 a Roll the die another 60 times, marking the tally sheet after each roll. [Use a different coloured pen for rolls ] b Total all scores and write the results in the Score rolls row. 4 Represent your results in a column graph. 5 What did you expect your graph to look like? Why? 6 If you combined your 120 rolls with those of five other students, what might you expect the results of 600 rolls to be? 8 PB2 Relative frequency and probability

55 Gill Sans Bold Solutions 4 Here is a possible column graph. Each student s graph will vary depending on the results they get. This part of the graph shows that a four was rolled 12 times in the first 60 rolls 25 times in the120 rolls 30 cumulative score rolls 120 rolls 60 rolls 120 rolls 60 rolls 120 rolls 60 rolls 120 rolls 60 rolls 120 rolls 60 rolls 120 rolls uppermost face 5 You would expect the graph to have six columns of equal height since each number on the die is expected to come up the same number of times. 6 You would expect to get 100 rolls of each number. Cards In a normal deck (or pack) of cards there are 26 red cards and 26 black cards. There are four suits, each containing 13 cards. heart diamond spade club red cards black cards Note: you need to know the makeup of a deck of cards. Part 1 Relative frequency 9

56 Exercise 1.2b You will need a normal deck of 52 cards for this exercise. [no jokers] 1 a Sort the cards into red and black. i How many black cards are there? ii How many red cards are there? b Answer true or false to the following statements. i There s a chance of drawing a red card from a full deck. ii There s an even chance of drawing a black card from a full deck. 2 a Sort the cards into the 4 suits. i How many hearts are there? ii How many diamonds are there? iii How many clubs are there? iv How many spades are there? b Answer true or false to the following statements. i There s a chance of drawing a diamond from a full deck. ii There s an even chance of drawing a club from all the black cards. 3 Collect all the cards which make up any one of the four suits. a b c d How many cards make up the suit? If you count the Ace as one, how many numbered cards make up the suit? How many other cards are in the suit? Answer true or false to the following statements. i ii There s a better than even chance of drawing a numbered card from a suit than a picture card. You re more likely to draw a numbered card than a picture card from a full deck. 4 In some card games, an Ace is low and has a value of one. In other games an Ace is high. What do you think Ace high means? 10 PB2 Relative frequency and probability

57 Gill Sans Bold 1.3 Relative frequency You expect to get 50 heads and 50 tails if a coin is tossed 100 times. You say the two outcomes are equally likely. If you actually toss a coin 100 times you might get 47 heads and 53 tails or perhaps 55 heads and 45 tails. Each time you do the experiment you might probably get slightly different results. The experimental result of an outcome is called the relative frequency. relativefrequency = number of times event occurs total number of trials The relative frequency of outcome 47 heads out of 100 tosses is or 47%. The first 100 Smiths from a local telephone directory are in the Appendix. 1 How many of these 100 telephone numbers end in a 6? 2 What is the relative frequency of the last digit being a six? 3 How many telephone numbers ending in a 6 do you expect in 5000 listings? Solutions 1 Ten numbers out of the 100 in this sample end in a six. [Check by counting] 2 Relative frequency of a 6 = = 1 10 or 10% 3 We can use our sample result to get a reasonable estimate. 10% of 5000 = = 500 We expect 500 numbers to end in a 6. Note: this is only an estimate. We don t know if there will be exactly 500 numbers ending in a 6 but we expect close to this number. Part 1 Relative frequency 11

58 Exercise a How many possibilities are there for the last digit of any telephone number? List them. b c d How many telephone numbers in the Smith sample of telephone numbers end with the digit nine? What percentage of the Smith telephone numbers end with the digit nine? Use this information from the sample to estimate how many telephone numbers end with the digit 9 in a listing of: i 5000 ii iii iv a million. Investigation activity You will need a copy of the white pages telephone directory for this exercise. 1 Open to any page and choose one listing. This is your first listing. Now count off, say,100 listings and mark the end one. It s okay if you go over to the next page. 2 a How many listing in your random sample? b c d How many end in nine? What is the relative frequency of the outcome a number ending in nine? Use the information from the sample to estimate how many telephone numbers end with a nine in a listing of: i 100 ii iii iv a half million 12 PB2 Relative frequency and probability

59 Gill Sans Bold 3 a Select another digit from 0 to 8. b c d How many of your sample numbers end in this digit? What is the relative frequency of this digit in your sample? Use the information to estimate how many telephone numbers end with this digit in a listing of: i 100 ii ii Part 1 Relative frequency 13

60 1.4 Experiments with relative frequency Relative frequency is the experimental value and probability is the theoretical or expected value where: relativefrequency = number of times event occurs total number of trials In an experiment where 100 coins are tossed, the relative frequency of tossing a head might be whereas in another it might be The average of all these relative frequencies would equal the predicted probability of 50 over a large number of trials. 100 Investigation activity For this activity you will need a matchbox (or similar). When a matchbox is tossed there are three ways it can land: on a base on a side on a end. Base side End 14 PB2 Relative frequency and probability

61 Gill Sans Bold 1 How many of each outcome would you expect in 50 tosses? 2 Toss your matchbox 50 times and record your results. Outcome Tally Frequency Relative Frequency Total trials = 50 3 Calculate the relative frequency of each outcome. 4 How do these relative frequencies compare with your guesses? Note: Conducting an experiment is about guessing the outcome and then deciding whether your guess is correct or not. Part 1 Relative frequency 15

62 Investigation activity For this activity you will need drawing pins (or similar objects). A drawing pin can land in one of two ways: Head Side Write down what you think the relative frequency for each of these outcomes might be. Toss one drawing pin 100 times. [To save time you could toss 10 pins ten times or 20 pins five time]. Record your results for 100 tosses of the drawing pin. Outcome Tally Frequency Relative Frequency Total trials = 100 Calculate the relative frequency of each outcome. How do these relative frequencies compare with your guesses? 16 PB2 Relative frequency and probability

63 Gill Sans Bold 1.5 Talking it through An important part of this course is learning to apply mathematical knowledge about probability to everyday statements and events. Suppose the letters in the word M A T H E M A T I C S were written on tiles, placed in a bag and one tile was drawn out. A I C M T H T E S A M M A T There are 11 tiles to choose from but the letters the chance of choosing one of these letters is twice as likely. appear twice so For example, the probability of choosing the letter M is 2 while the 11 probability of choosingthe letter C is Another important aspect of probability is randomness. If you reached inside the bag and chose a tile, you wouldn t know which letter it was until you looked at it if each tile was identical in size and feel. If however, you knew that the tile with the letter H on it was chipped you could pick it every time and choosing a letter would no longer be random. H????? Here is a question to ponder????? Why do you think many television and radio competitions ask you to send in your name and address written on a standard sized envelope? Why not any sized envelope? Part 1 Relative frequency 17

64 Exercise 1.5a 1 a Think about each of these probability statements then discuss them with someone. b Write your response to each statement.. Kwan s statement As there are twenty six letters in the English alphabet, the probability that a person s name starts with X is one in twenty six. Kiri s statement If I toss a fair coin six times and get six tails, the probability of getting a head for the next toss is greater than an even chance. Kurt s statement Since traffic lights can be red, amber or green, the probability that a light is red at any instant is one in three. $ Ken s statement There are tickets sold for each $2 jackpot lottery. My chances of winning a prize will increase if I buy a ticket in every lottery. 18 PB2 Relative frequency and probability

65 Gill Sans Bold 2 There is something wrong with the reasoning in each of the following statements. Identify it and comment critically on each statement. a b Mrs Jones has three children; all boys. She is now pregnant and is expecting another baby. This one is sure to be a girl. Two teams, Alpha and Omega, are playing a game of soccer. Since the results can be win, lose or draw the chance Omega wins is 1 3. c d e f g h i When two coins are tossed, the result can be: two heads two tails one head and one tail. Alexis concludes that the chance of each outcome is the same. At a swimming carnival there are eight lanes and Myra is in one of the lanes. Her chance of winning a race is 1 8. Barry is also swimming at the carnival. There are prizes for first, second and third place. Since there are four outcomes (first, second, third, no prize), his chance of winning a prize is 3 4. When I apply for a job I could either get it or not get it. My chances of getting the job are I put my money on Knackery Lad in the fifth race at the local racecourse. There are seven other horses running. My chance of getting a place (first, second or third) is 3 8. When you throw two dice you have the same chance of getting a seven as you have of getting a 12. In my next Chemistry test there are two outcomes: pass or fail. My chance of passing is only 50%. Note: if you have difficulty with any of these, ask yourself these questions. What assumptions am I making? Are the events random? Does each event have the same likelihood of happening? Is something other than chance influencing the outcome? Part 1 Relative frequency 19

66 1 The table shows the frequency per 1000 letters of each letter of the alphabet in normal English text. E 131 D 38 W 15 T 105 L 34 B 14 A 82 F 29 V 9 O 80 C 28 K 4 N 71 M 25 X < 2 R 68 U 25 J > 1 I 63 Y 20 Q > 1 S 61 G 20 Z < 1 H 53 P 20 a In an essay of letters, how many N s do you expect? b A letter was chosen at random from a normal page of writing. What is the chance it is the letter Y? Give your answer as: i ii iii a fraction a decimal a percentage. c In a short story of letters, how many A s should you find? d If S occurred 92 times in 1480 letters, what is its relative frequency? e What percentage of E s would you expect in an essay of 5600 words? Solution 1 a Number of N's = b i 20 1 = = ii 0.02 iii 2% 20 PB2 Relative frequency and probability

67 Gill Sans Bold 82 c Number of A's = = d Relative frequency of S = 92 = ª 6. 2% 1480 e Percentge of E's = % =. % [Note: the percentage of E s is the same for any number of letters] Note: over a very large number of trials the relative frequency of an outcome is equal to the probability (expected value) of that outcome. From the given table, the probability that a letter picked at random from normal English prose is 61 the letter S is % = 6. 1 %. In part d of the example above, the relative frequency of S is 6.2%. This is slightly above the expected value. Exercise 1.5b 1 Using the letter frequency table on the previous page: a b c d e how many times would you expect to see the letter R in every 1000 letters? if a letter is chosen at random from a page in a novel, what would be the probability (as a percentage) of it being the letter: i T? ii G? iii K? How many letters have less than a 0.5% chance of being chosen at random from a page in a novel? Which letter has a 3.8% chance of being chosen at random from a page in a novel? In an essay of words, the average word length is five letters. i How many letters in the essay? ii How many times would you expect to see the letter M? Part 1 Relative frequency 21

Exercise Class XI Chapter 16 Probability Maths

Exercise Class XI Chapter 16 Probability Maths Exercise 16.1 Question 1: Describe the sample space for the indicated experiment: A coin is tossed three times. A coin has two faces: head (H) and tail (T). When a coin is tossed three times, the total

More information

Class XII Chapter 13 Probability Maths. Exercise 13.1

Class XII Chapter 13 Probability Maths. Exercise 13.1 Exercise 13.1 Question 1: Given that E and F are events such that P(E) = 0.6, P(F) = 0.3 and P(E F) = 0.2, find P (E F) and P(F E). It is given that P(E) = 0.6, P(F) = 0.3, and P(E F) = 0.2 Question 2:

More information

RANDOM EXPERIMENTS AND EVENTS

RANDOM EXPERIMENTS AND EVENTS Random Experiments and Events 18 RANDOM EXPERIMENTS AND EVENTS In day-to-day life we see that before commencement of a cricket match two captains go for a toss. Tossing of a coin is an activity and getting

More information

= = 0.1%. On the other hand, if there are three winning tickets, then the probability of winning one of these winning tickets must be 3 (1)

= = 0.1%. On the other hand, if there are three winning tickets, then the probability of winning one of these winning tickets must be 3 (1) MA 5 Lecture - Binomial Probabilities Wednesday, April 25, 202. Objectives: Introduce combinations and Pascal s triangle. The Fibonacci sequence had a number pattern that we could analyze in different

More information

3. a. P(white) =, or. b. ; the probability of choosing a white block. d. P(white) =, or. 4. a. = 1 b. 0 c. = 0

3. a. P(white) =, or. b. ; the probability of choosing a white block. d. P(white) =, or. 4. a. = 1 b. 0 c. = 0 Answers Investigation ACE Assignment Choices Problem. Core, 6 Other Connections, Extensions Problem. Core 6 Other Connections 7 ; unassigned choices from previous problems Problem. Core 7 9 Other Connections

More information

b. 2 ; the probability of choosing a white d. P(white) 25, or a a. Since the probability of choosing a

b. 2 ; the probability of choosing a white d. P(white) 25, or a a. Since the probability of choosing a Applications. a. P(green) =, P(yellow) = 2, or 2, P(red) = 2 ; three of the four blocks are not red. d. 2. a. P(green) = 2 25, P(purple) = 6 25, P(orange) = 2 25, P(yellow) = 5 25, or 5 2 6 2 5 25 25 25

More information

Diamond ( ) (Black coloured) (Black coloured) (Red coloured) ILLUSTRATIVE EXAMPLES

Diamond ( ) (Black coloured) (Black coloured) (Red coloured) ILLUSTRATIVE EXAMPLES CHAPTER 15 PROBABILITY Points to Remember : 1. In the experimental approach to probability, we find the probability of the occurence of an event by actually performing the experiment a number of times

More information

Random Variables. Outcome X (1, 1) 2 (2, 1) 3 (3, 1) 4 (4, 1) 5. (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6) }

Random Variables. Outcome X (1, 1) 2 (2, 1) 3 (3, 1) 4 (4, 1) 5. (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6) } Random Variables When we perform an experiment, we are often interested in recording various pieces of numerical data for each trial. For example, when a patient visits the doctor s office, their height,

More information

COMPOUND EVENTS. Judo Math Inc.

COMPOUND EVENTS. Judo Math Inc. COMPOUND EVENTS Judo Math Inc. 7 th grade Statistics Discipline: Black Belt Training Order of Mastery: Compound Events 1. What are compound events? 2. Using organized Lists (7SP8) 3. Using tables (7SP8)

More information

Random Variables. A Random Variable is a rule that assigns a number to each outcome of an experiment.

Random Variables. A Random Variable is a rule that assigns a number to each outcome of an experiment. Random Variables When we perform an experiment, we are often interested in recording various pieces of numerical data for each trial. For example, when a patient visits the doctor s office, their height,

More information

Outcome X (1, 1) 2 (2, 1) 3 (3, 1) 4 (4, 1) 5 {(1, 1) (1, 2) (1, 3) (1, 4) (1, 5) (1, 6) (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6)}

Outcome X (1, 1) 2 (2, 1) 3 (3, 1) 4 (4, 1) 5 {(1, 1) (1, 2) (1, 3) (1, 4) (1, 5) (1, 6) (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6)} Section 8: Random Variables and probability distributions of discrete random variables In the previous sections we saw that when we have numerical data, we can calculate descriptive statistics such as

More information

LC OL Probability. ARNMaths.weebly.com. As part of Leaving Certificate Ordinary Level Math you should be able to complete the following.

LC OL Probability. ARNMaths.weebly.com. As part of Leaving Certificate Ordinary Level Math you should be able to complete the following. A Ryan LC OL Probability ARNMaths.weebly.com Learning Outcomes As part of Leaving Certificate Ordinary Level Math you should be able to complete the following. Counting List outcomes of an experiment Apply

More information

PROBABILITY. 1. Introduction. Candidates should able to:

PROBABILITY. 1. Introduction. Candidates should able to: PROBABILITY Candidates should able to: evaluate probabilities in simple cases by means of enumeration of equiprobable elementary events (e.g for the total score when two fair dice are thrown), or by calculation

More information

Page 1 of 22. Website: Mobile:

Page 1 of 22. Website:    Mobile: Exercise 15.1 Question 1: Complete the following statements: (i) Probability of an event E + Probability of the event not E =. (ii) The probability of an event that cannot happen is. Such as event is called.

More information

MATH STUDENT BOOK. 7th Grade Unit 6

MATH STUDENT BOOK. 7th Grade Unit 6 MATH STUDENT BOOK 7th Grade Unit 6 Unit 6 Probability and Graphing Math 706 Probability and Graphing Introduction 3 1. Probability 5 Theoretical Probability 5 Experimental Probability 13 Sample Space 20

More information

Unit 7 Central Tendency and Probability

Unit 7 Central Tendency and Probability Name: Block: 7.1 Central Tendency 7.2 Introduction to Probability 7.3 Independent Events 7.4 Dependent Events 7.1 Central Tendency A central tendency is a central or value in a data set. We will look at

More information

Here are two situations involving chance:

Here are two situations involving chance: Obstacle Courses 1. Introduction. Here are two situations involving chance: (i) Someone rolls a die three times. (People usually roll dice in pairs, so dice is more common than die, the singular form.)

More information

Date. Probability. Chapter

Date. Probability. Chapter Date Probability Contests, lotteries, and games offer the chance to win just about anything. You can win a cup of coffee. Even better, you can win cars, houses, vacations, or millions of dollars. Games

More information

Name: Class: Date: 6. An event occurs, on average, every 6 out of 17 times during a simulation. The experimental probability of this event is 11

Name: Class: Date: 6. An event occurs, on average, every 6 out of 17 times during a simulation. The experimental probability of this event is 11 Class: Date: Sample Mastery # Multiple Choice Identify the choice that best completes the statement or answers the question.. One repetition of an experiment is known as a(n) random variable expected value

More information

Math 146 Statistics for the Health Sciences Additional Exercises on Chapter 3

Math 146 Statistics for the Health Sciences Additional Exercises on Chapter 3 Math 46 Statistics for the Health Sciences Additional Exercises on Chapter 3 Student Name: Find the indicated probability. ) If you flip a coin three times, the possible outcomes are HHH HHT HTH HTT THH

More information

4.1 Sample Spaces and Events

4.1 Sample Spaces and Events 4.1 Sample Spaces and Events An experiment is an activity that has observable results. Examples: Tossing a coin, rolling dice, picking marbles out of a jar, etc. The result of an experiment is called an

More information

Chapter 4. Probability and Counting Rules. McGraw-Hill, Bluman, 7 th ed, Chapter 4

Chapter 4. Probability and Counting Rules. McGraw-Hill, Bluman, 7 th ed, Chapter 4 Chapter 4 Probability and Counting Rules McGraw-Hill, Bluman, 7 th ed, Chapter 4 Chapter 4 Overview Introduction 4-1 Sample Spaces and Probability 4-2 Addition Rules for Probability 4-3 Multiplication

More information

Probability and Counting Rules. Chapter 3

Probability and Counting Rules. Chapter 3 Probability and Counting Rules Chapter 3 Probability as a general concept can be defined as the chance of an event occurring. Many people are familiar with probability from observing or playing games of

More information

Counting methods (Part 4): More combinations

Counting methods (Part 4): More combinations April 13, 2009 Counting methods (Part 4): More combinations page 1 Counting methods (Part 4): More combinations Recap of last lesson: The combination number n C r is the answer to this counting question:

More information

This unit will help you work out probability and use experimental probability and frequency trees. Key points

This unit will help you work out probability and use experimental probability and frequency trees. Key points Get started Probability This unit will help you work out probability and use experimental probability and frequency trees. AO Fluency check There are 0 marbles in a bag. 9 of the marbles are red, 7 are

More information

Fdaytalk.com. Outcomes is probable results related to an experiment

Fdaytalk.com. Outcomes is probable results related to an experiment EXPERIMENT: Experiment is Definite/Countable probable results Example: Tossing a coin Throwing a dice OUTCOMES: Outcomes is probable results related to an experiment Example: H, T Coin 1, 2, 3, 4, 5, 6

More information

PROBABILITY M.K. HOME TUITION. Mathematics Revision Guides. Level: GCSE Foundation Tier

PROBABILITY M.K. HOME TUITION. Mathematics Revision Guides. Level: GCSE Foundation Tier Mathematics Revision Guides Probability Page 1 of 18 M.K. HOME TUITION Mathematics Revision Guides Level: GCSE Foundation Tier PROBABILITY Version: 2.1 Date: 08-10-2015 Mathematics Revision Guides Probability

More information

Chapter 8: Probability: The Mathematics of Chance

Chapter 8: Probability: The Mathematics of Chance Chapter 8: Probability: The Mathematics of Chance Free-Response 1. A spinner with regions numbered 1 to 4 is spun and a coin is tossed. Both the number spun and whether the coin lands heads or tails is

More information

Beginnings of Probability I

Beginnings of Probability I Beginnings of Probability I Despite the fact that humans have played games of chance forever (so to speak), it is only in the 17 th century that two mathematicians, Pierre Fermat and Blaise Pascal, set

More information

HUDM4122 Probability and Statistical Inference. February 2, 2015

HUDM4122 Probability and Statistical Inference. February 2, 2015 HUDM4122 Probability and Statistical Inference February 2, 2015 In the last class Covariance Correlation Scatterplots Simple linear regression Questions? Comments? Today Ch. 4.1-4.3 in Mendenhall, Beaver,

More information

Functional Skills Mathematics

Functional Skills Mathematics Functional Skills Mathematics Level Learning Resource Probability D/L. Contents Independent Events D/L. Page - Combined Events D/L. Page - 9 West Nottinghamshire College D/L. Information Independent Events

More information

Relative frequency and probability

Relative frequency and probability 5 Relative frequency and probability Syllabus topic MS-S Relative frequency and probability This topic will develop your awareness of the broad range of applications of probability concepts in everyday

More information

Math 227 Elementary Statistics. Bluman 5 th edition

Math 227 Elementary Statistics. Bluman 5 th edition Math 227 Elementary Statistics Bluman 5 th edition CHAPTER 4 Probability and Counting Rules 2 Objectives Determine sample spaces and find the probability of an event using classical probability or empirical

More information

MEP Practice Book SA5

MEP Practice Book SA5 5 Probability 5.1 Probabilities MEP Practice Book SA5 1. Describe the probability of the following events happening, using the terms Certain Very likely Possible Very unlikely Impossible (d) (e) (f) (g)

More information

SAMPLE EVALUATION ONLY

SAMPLE EVALUATION ONLY Topic 10 Probability 10.1 Overview Why learn this? Probability allows us to describe how likely an event is to happen. To understand the chances of an event happening it is important to understand the

More information

Probability Interactives from Spire Maths A Spire Maths Activity

Probability Interactives from Spire Maths A Spire Maths Activity Probability Interactives from Spire Maths A Spire Maths Activity https://spiremaths.co.uk/ia/ There are 12 sets of Probability Interactives: each contains a main and plenary flash file. Titles are shown

More information

Before giving a formal definition of probability, we explain some terms related to probability.

Before giving a formal definition of probability, we explain some terms related to probability. probability 22 INTRODUCTION In our day-to-day life, we come across statements such as: (i) It may rain today. (ii) Probably Rajesh will top his class. (iii) I doubt she will pass the test. (iv) It is unlikely

More information

Unit 11 Probability. Round 1 Round 2 Round 3 Round 4

Unit 11 Probability. Round 1 Round 2 Round 3 Round 4 Study Notes 11.1 Intro to Probability Unit 11 Probability Many events can t be predicted with total certainty. The best thing we can do is say how likely they are to happen, using the idea of probability.

More information

Probability of Independent and Dependent Events

Probability of Independent and Dependent Events 706 Practice A Probability of In and ependent Events ecide whether each set of events is or. Explain your answer.. A student spins a spinner and rolls a number cube.. A student picks a raffle ticket from

More information

Student activity sheet Gambling in Australia quick quiz

Student activity sheet Gambling in Australia quick quiz Student activity sheet Gambling in Australia quick quiz Read the following statements, then circle if you think the statement is true or if you think it is false. 1 On average people in North America spend

More information

Worksheets for GCSE Mathematics. Probability. mr-mathematics.com Maths Resources for Teachers. Handling Data

Worksheets for GCSE Mathematics. Probability. mr-mathematics.com Maths Resources for Teachers. Handling Data Worksheets for GCSE Mathematics Probability mr-mathematics.com Maths Resources for Teachers Handling Data Probability Worksheets Contents Differentiated Independent Learning Worksheets Probability Scales

More information

Math 7 Notes - Unit 7B (Chapter 11) Probability

Math 7 Notes - Unit 7B (Chapter 11) Probability Math 7 Notes - Unit 7B (Chapter 11) Probability Probability Syllabus Objective: (7.2)The student will determine the theoretical probability of an event. Syllabus Objective: (7.4)The student will compare

More information

SERIES Chance and Probability

SERIES Chance and Probability F Teacher Student Book Name Series F Contents Topic Section Chance Answers and (pp. Probability 0) (pp. 0) ordering chance and events probability_ / / relating fractions to likelihood / / chance experiments

More information

Algebra II- Chapter 12- Test Review

Algebra II- Chapter 12- Test Review Sections: Counting Principle Permutations Combinations Probability Name Choose the letter of the term that best matches each statement or phrase. 1. An illustration used to show the total number of A.

More information

Stat 20: Intro to Probability and Statistics

Stat 20: Intro to Probability and Statistics Stat 20: Intro to Probability and Statistics Lecture 12: More Probability Tessa L. Childers-Day UC Berkeley 10 July 2014 By the end of this lecture... You will be able to: Use the theory of equally likely

More information

What Do You Expect? Concepts

What Do You Expect? Concepts Important Concepts What Do You Expect? Concepts Examples Probability A number from 0 to 1 that describes the likelihood that an event will occur. Theoretical Probability A probability obtained by analyzing

More information

STRAND: PROBABILITY Unit 2 Probability of Two or More Events

STRAND: PROBABILITY Unit 2 Probability of Two or More Events STRAND: PROAILITY Unit 2 Probability of Two or More Events TEXT Contents Section 2. Outcome of Two Events 2.2 Probability of Two Events 2. Use of Tree Diagrams 2 Probability of Two or More Events 2. Outcome

More information

Chance and Probability

Chance and Probability Student Teacher Chance and Probability My name Series G Copyright 009 P Learning. All rights reserved. First edition printed 009 in Australia. A catalogue record for this book is available from P Learning

More information

Chapter 3: PROBABILITY

Chapter 3: PROBABILITY Chapter 3 Math 3201 1 3.1 Exploring Probability: P(event) = Chapter 3: PROBABILITY number of outcomes favourable to the event total number of outcomes in the sample space An event is any collection of

More information

Algebra I Notes Unit One: Real Number System

Algebra I Notes Unit One: Real Number System Syllabus Objectives: 1.1 The student will organize statistical data through the use of matrices (with and without technology). 1.2 The student will perform addition, subtraction, and scalar multiplication

More information

MEP Practice Book ES5. 1. A coin is tossed, and a die is thrown. List all the possible outcomes.

MEP Practice Book ES5. 1. A coin is tossed, and a die is thrown. List all the possible outcomes. 5 Probability MEP Practice Book ES5 5. Outcome of Two Events 1. A coin is tossed, and a die is thrown. List all the possible outcomes. 2. A die is thrown twice. Copy the diagram below which shows all the

More information

Probability Exercise 2

Probability Exercise 2 Probability Exercise 2 1 Question 9 A box contains 5 red marbles, 8 white marbles and 4 green marbles. One marble is taken out of the box at random. What is the probability that the marble taken out will

More information

Math 7 Notes - Unit 11 Probability

Math 7 Notes - Unit 11 Probability Math 7 Notes - Unit 11 Probability Probability Syllabus Objective: (7.2)The student will determine the theoretical probability of an event. Syllabus Objective: (7.4)The student will compare theoretical

More information

Essential Question How can you list the possible outcomes in the sample space of an experiment?

Essential Question How can you list the possible outcomes in the sample space of an experiment? . TEXAS ESSENTIAL KNOWLEDGE AND SKILLS G..B Sample Spaces and Probability Essential Question How can you list the possible outcomes in the sample space of an experiment? The sample space of an experiment

More information

1. How to identify the sample space of a probability experiment and how to identify simple events

1. How to identify the sample space of a probability experiment and how to identify simple events Statistics Chapter 3 Name: 3.1 Basic Concepts of Probability Learning objectives: 1. How to identify the sample space of a probability experiment and how to identify simple events 2. How to use the Fundamental

More information

CS 361: Probability & Statistics

CS 361: Probability & Statistics January 31, 2018 CS 361: Probability & Statistics Probability Probability theory Probability Reasoning about uncertain situations with formal models Allows us to compute probabilities Experiments will

More information

I. WHAT IS PROBABILITY?

I. WHAT IS PROBABILITY? C HAPTER 3 PROAILITY Random Experiments I. WHAT IS PROAILITY? The weatherman on 10 o clock news program states that there is a 20% chance that it will snow tomorrow, a 65% chance that it will rain and

More information

Probability --QUESTIONS-- Principles of Math 12 - Probability Practice Exam 1

Probability --QUESTIONS-- Principles of Math 12 - Probability Practice Exam 1 Probability --QUESTIONS-- Principles of Math - Probability Practice Exam www.math.com Principles of Math : Probability Practice Exam Use this sheet to record your answers:... 4... 4... 4.. 6. 4.. 6. 7..

More information

Probability - Chapter 4

Probability - Chapter 4 Probability - Chapter 4 In this chapter, you will learn about probability its meaning, how it is computed, and how to evaluate it in terms of the likelihood of an event actually happening. A cynical person

More information

Intermediate Math Circles November 1, 2017 Probability I

Intermediate Math Circles November 1, 2017 Probability I Intermediate Math Circles November 1, 2017 Probability I Probability is the study of uncertain events or outcomes. Games of chance that involve rolling dice or dealing cards are one obvious area of application.

More information

Introduction to probability

Introduction to probability Introduction to probability syllabusref eferenceence Strand: Statistics and probability Core topic: Exploring and understanding data In this cha chapter A Informal description of chance B Sample space

More information

This Probability Packet Belongs to:

This Probability Packet Belongs to: This Probability Packet Belongs to: 1 2 Station #1: M & M s 1. What is the sample space of your bag of M&M s? 2. Find the theoretical probability of the M&M s in your bag. Then, place the candy back into

More information

Use a tree diagram to find the number of possible outcomes. 2. How many outcomes are there altogether? 2.

Use a tree diagram to find the number of possible outcomes. 2. How many outcomes are there altogether? 2. Use a tree diagram to find the number of possible outcomes. 1. A pouch contains a blue chip and a red chip. A second pouch contains two blue chips and a red chip. A chip is picked from each pouch. The

More information

MAT104: Fundamentals of Mathematics II Counting Techniques Class Exercises Solutions

MAT104: Fundamentals of Mathematics II Counting Techniques Class Exercises Solutions MAT104: Fundamentals of Mathematics II Counting Techniques Class Exercises Solutions 1. Appetizers: Salads: Entrées: Desserts: 2. Letters: (A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U,

More information

Independent and Mutually Exclusive Events

Independent and Mutually Exclusive Events Independent and Mutually Exclusive Events By: OpenStaxCollege Independent and mutually exclusive do not mean the same thing. Independent Events Two events are independent if the following are true: P(A

More information

Homework Set #1. 1. The Supreme Court (9 members) meet, and all the justices shake hands with each other. How many handshakes are there?

Homework Set #1. 1. The Supreme Court (9 members) meet, and all the justices shake hands with each other. How many handshakes are there? Homework Set # Part I: COMBINATORICS (follows Lecture ). The Supreme Court (9 members) meet, and all the justices shake hands with each other. How many handshakes are there? 2. A country has license plates

More information

Probability Unit 6 Day 3

Probability Unit 6 Day 3 Probability Unit 6 Day 3 Warm-up: 1. If you have a standard deck of cards in how many different hands exists of: (Show work by hand but no need to write out the full factorial!) a) 5 cards b) 2 cards 2.

More information

Probability - Grade 10 *

Probability - Grade 10 * OpenStax-CNX module: m32623 1 Probability - Grade 10 * Rory Adams Free High School Science Texts Project Sarah Blyth Heather Williams This work is produced by OpenStax-CNX and licensed under the Creative

More information

The student will explain and evaluate the financial impact and consequences of gambling.

The student will explain and evaluate the financial impact and consequences of gambling. What Are the Odds? Standard 12 The student will explain and evaluate the financial impact and consequences of gambling. Lesson Objectives Recognize gambling as a form of risk. Calculate the probabilities

More information

Copyright 2015 Edmentum - All rights reserved Picture is not drawn to scale.

Copyright 2015 Edmentum - All rights reserved Picture is not drawn to scale. Study Island Copyright 2015 Edmentum - All rights reserved. Generation Date: 05/26/2015 Generated By: Matthew Beyranevand Students Entering Grade 8 Part 2 Questions and Answers Compute with Rational Numbers

More information

Raise your hand if you rode a bus within the past month. Record the number of raised hands.

Raise your hand if you rode a bus within the past month. Record the number of raised hands. 166 CHAPTER 3 PROBABILITY TOPICS Raise your hand if you rode a bus within the past month. Record the number of raised hands. Raise your hand if you answered "yes" to BOTH of the first two questions. Record

More information

Chance and Probability

Chance and Probability G Student Book Name Series G Contents Topic Chance and probability (pp. ) probability scale using samples to predict probability tree diagrams chance experiments using tables location, location apply lucky

More information

Grade 6 Math Circles Fall Oct 14/15 Probability

Grade 6 Math Circles Fall Oct 14/15 Probability 1 Faculty of Mathematics Waterloo, Ontario Centre for Education in Mathematics and Computing Grade 6 Math Circles Fall 2014 - Oct 14/15 Probability Probability is the likelihood of an event occurring.

More information

Lesson 16.1 Assignment

Lesson 16.1 Assignment Lesson 16.1 Assignment Name Date Rolling, Rolling, Rolling... Defining and Representing Probability 1. Rasheed is getting dressed in the dark. He reaches into his sock drawer to get a pair of socks. He

More information

Foundations to Algebra In Class: Investigating Probability

Foundations to Algebra In Class: Investigating Probability Foundations to Algebra In Class: Investigating Probability Name Date How can I use probability to make predictions? Have you ever tried to predict which football team will win a big game? If so, you probably

More information

Discrete probability and the laws of chance

Discrete probability and the laws of chance Chapter 8 Discrete probability and the laws of chance 8.1 Multiple Events and Combined Probabilities 1 Determine the probability of each of the following events assuming that the die has equal probability

More information

Advanced Intermediate Algebra Chapter 12 Summary INTRO TO PROBABILITY

Advanced Intermediate Algebra Chapter 12 Summary INTRO TO PROBABILITY Advanced Intermediate Algebra Chapter 12 Summary INTRO TO PROBABILITY 1. Jack and Jill do not like washing dishes. They decide to use a random method to select whose turn it is. They put some red and blue

More information

Chapter 1: Sets and Probability

Chapter 1: Sets and Probability Chapter 1: Sets and Probability Section 1.3-1.5 Recap: Sample Spaces and Events An is an activity that has observable results. An is the result of an experiment. Example 1 Examples of experiments: Flipping

More information

XXII Probability. 4. The odds of being accepted in Mathematics at McGill University are 3 to 8. Find the probability of being accepted.

XXII Probability. 4. The odds of being accepted in Mathematics at McGill University are 3 to 8. Find the probability of being accepted. MATHEMATICS 20-BNJ-05 Topics in Mathematics Martin Huard Winter 204 XXII Probability. Find the sample space S along with n S. a) The face cards are removed from a regular deck and then card is selected

More information

Find the probability of an event by using the definition of probability

Find the probability of an event by using the definition of probability LESSON 10-1 Probability Lesson Objectives Find the probability of an event by using the definition of probability Vocabulary experiment (p. 522) trial (p. 522) outcome (p. 522) sample space (p. 522) event

More information

ATHS FC Math Department Al Ain Remedial worksheet. Lesson 10.4 (Ellipses)

ATHS FC Math Department Al Ain Remedial worksheet. Lesson 10.4 (Ellipses) ATHS FC Math Department Al Ain Remedial worksheet Section Name ID Date Lesson Marks Lesson 10.4 (Ellipses) 10.4, 10.5, 0.4, 0.5 and 0.6 Intervention Plan Page 1 of 19 Gr 12 core c 2 = a 2 b 2 Question

More information

Probability Essential Math 12 Mr. Morin

Probability Essential Math 12 Mr. Morin Probability Essential Math 12 Mr. Morin Name: Slot: Introduction Probability and Odds Single Event Probability and Odds Two and Multiple Event Experimental and Theoretical Probability Expected Value (Expected

More information

Simulations. 1 The Concept

Simulations. 1 The Concept Simulations In this lab you ll learn how to create simulations to provide approximate answers to probability questions. We ll make use of a particular kind of structure, called a box model, that can be

More information

Combinatorics: The Fine Art of Counting

Combinatorics: The Fine Art of Counting Combinatorics: The Fine Art of Counting Week 6 Lecture Notes Discrete Probability Note Binomial coefficients are written horizontally. The symbol ~ is used to mean approximately equal. Introduction and

More information

Key Concepts. Theoretical Probability. Terminology. Lesson 11-1

Key Concepts. Theoretical Probability. Terminology. Lesson 11-1 Key Concepts Theoretical Probability Lesson - Objective Teach students the terminology used in probability theory, and how to make calculations pertaining to experiments where all outcomes are equally

More information

Probability. The Bag Model

Probability. The Bag Model Probability The Bag Model Imagine a bag (or box) containing balls of various kinds having various colors for example. Assume that a certain fraction p of these balls are of type A. This means N = total

More information

UNIT 5: RATIO, PROPORTION, AND PERCENT WEEK 20: Student Packet

UNIT 5: RATIO, PROPORTION, AND PERCENT WEEK 20: Student Packet Name Period Date UNIT 5: RATIO, PROPORTION, AND PERCENT WEEK 20: Student Packet 20.1 Solving Proportions 1 Add, subtract, multiply, and divide rational numbers. Use rates and proportions to solve problems.

More information

MATH , Summer I Homework - 05

MATH , Summer I Homework - 05 MATH 2300-02, Summer I - 200 Homework - 05 Name... TRUE/FALSE. Write 'T' if the statement is true and 'F' if the statement is false. Due on Tuesday, October 26th ) True or False: If p remains constant

More information

Probability. The MEnTe Program Math Enrichment through Technology. Title V East Los Angeles College

Probability. The MEnTe Program Math Enrichment through Technology. Title V East Los Angeles College Probability The MEnTe Program Math Enrichment through Technology Title V East Los Angeles College 2003 East Los Angeles College. All rights reserved. Topics Introduction Empirical Probability Theoretical

More information

Homework #1-19: Use the Counting Principle to answer the following questions.

Homework #1-19: Use the Counting Principle to answer the following questions. Section 4.3: Tree Diagrams and the Counting Principle Homework #1-19: Use the Counting Principle to answer the following questions. 1) If two dates are selected at random from the 365 days of the year

More information

Counting Methods and Probability

Counting Methods and Probability CHAPTER Counting Methods and Probability Many good basketball players can make 90% of their free throws. However, the likelihood of a player making several free throws in a row will be less than 90%. You

More information

Lesson 10: Using Simulation to Estimate a Probability

Lesson 10: Using Simulation to Estimate a Probability Lesson 10: Using Simulation to Estimate a Probability Classwork In previous lessons, you estimated probabilities of events by collecting data empirically or by establishing a theoretical probability model.

More information

A. 15 B. 24 C. 45 D. 54

A. 15 B. 24 C. 45 D. 54 A spinner is divided into 8 equal sections. Lara spins the spinner 120 times. It lands on purple 30 times. How many more times does Lara need to spin the spinner and have it land on purple for the relative

More information

Probability: introduction

Probability: introduction May 6, 2009 Probability: introduction page 1 Probability: introduction Probability is the part of mathematics that deals with the chance or the likelihood that things will happen The probability of an

More information

Math 147 Elementary Probability/Statistics I Additional Exercises on Chapter 4: Probability

Math 147 Elementary Probability/Statistics I Additional Exercises on Chapter 4: Probability Math 147 Elementary Probability/Statistics I Additional Exercises on Chapter 4: Probability Student Name: Find the indicated probability. 1) If you flip a coin three times, the possible outcomes are HHH

More information

Independence Is The Word

Independence Is The Word Problem 1 Simulating Independent Events Describe two different events that are independent. Describe two different events that are not independent. The probability of obtaining a tail with a coin toss

More information

Probability. Dr. Zhang Fordham Univ.

Probability. Dr. Zhang Fordham Univ. Probability! Dr. Zhang Fordham Univ. 1 Probability: outline Introduction! Experiment, event, sample space! Probability of events! Calculate Probability! Through counting! Sum rule and general sum rule!

More information

AP Statistics Ch In-Class Practice (Probability)

AP Statistics Ch In-Class Practice (Probability) AP Statistics Ch 14-15 In-Class Practice (Probability) #1a) A batter who had failed to get a hit in seven consecutive times at bat then hits a game-winning home run. When talking to reporters afterward,

More information

Counting Learning Outcomes

Counting Learning Outcomes 1 Counting Learning Outcomes List all possible outcomes of an experiment or event. Use systematic listing. Use two-way tables. Use tree diagrams. Solve problems using the fundamental principle of counting.

More information

Name: Class: Date: Probability/Counting Multiple Choice Pre-Test

Name: Class: Date: Probability/Counting Multiple Choice Pre-Test Name: _ lass: _ ate: Probability/ounting Multiple hoice Pre-Test Multiple hoice Identify the choice that best completes the statement or answers the question. 1 The dartboard has 8 sections of equal area.

More information