Chapter 6 -- Probability Review Questions

Size: px
Start display at page:

Download "Chapter 6 -- Probability Review Questions"

Transcription

1 Chapter 6 -- Probability Review Questions Addition Rule: or union or & and (in the same problem) P( A B ) = P( A) + P( B) P( A B) *** If the events A and B are mutually exclusive (disjoint), then P ( A B) = 0 *** *** Use Venn Diagrams for these problems*** Mutually Exclusive Not Mutually Exclusive Multiplication Rule: AND intersection P(A B) = P(A)P(B A) P(A B) = P(B)P(A B) When the events A and B are independent, P(B A)=P(B) P(A B)=P(A) Conditional Probability: given A B P(A B) = P( A B) P( B) think of the Venn Diagram ** Note Bayes theorem is a type of conditional probability only use it when the values are unknown for the above formula P(A B)= P(B A)P(A) (tree diagrams are very helpful) P(B A)P(A)+P(A )P(B A )

2 1.) Find the probability of flipping a head on a coin and rolling a sum of 8 on 2 dice. 2.) A box contains 11 nickels, 4 dimes, and 5 quarters. If you draw 3 coins at random from the box without replacement, what is the probability that you will get a nickel, a dime and a nickel in that order? 3.) A company estimates that 60 % of the adults in the US have seen its TV commercial and that if an adult sees the commercial, there is a 15 % chance that the adult will buy the product. What is the probability that an adult chosen at random in the US will have seen the company s commercial and will have bought its product? 4.) An analysis of the registered voters in the last primary indicated that 55 % of the voters were women. Of the female voters, 35% are registered Democrats, 35 % are registered Republicans, and the rest are assumed independent. Of the male voters, the percentages are 30 %, 45 % and 25 % (D,R,I). Find each probability. (a) a voter chosen at random is a woman (b) A voter chosen at random is a male Republican (c) A Democrat chosen at random is a male 5.) Find the probability of flipping 5 heads on 5 coin tosses. 6.) Find the probability of drawing an ace, then a king out of a standard deck of 52 cards, if the first card is not replaced before the second draw. 7.) 100 teen boys and 100 teen girls were asked if they had ever made a purchase using the Internet. 30 of the boys and 60 of the girls said that they had made purchases. If one of the teens is selected at random (a) What is the probability that they have made a purchase using the Internet? (b) What is the probability that the teen is a girl, given that the person has made a purchase on the Internet? 8.) Donald has ordered a computer and a desk from 2 different stores. Both items are to be delivered on Tuesday. The probability that the computer will be delivered before noon is.6 and the probability that the desk will be delivered before noon is.8. If the probability that the computer or the desk will be delivered before noon is.9, what is the probability that both will be delivered before noon?

3 9.) When I visit the local library, the probability that someone is reading the current issue of Sports Illustrated is.4, the probability that someone is reading Time is.3, and the probability that at least one of these two magazines is being read by someone is.5. What is the probability that : (a) Both of the magazines are being read? (b) Neither of the two is being read? (c) Exactly one is being read? 10.) Beethoven wrote 9 symphonies and Mozart wrote 27 piano concertos. If a university radio announcer wishes to play first a Beethoven symphony and then a Mozart concerto, in how many ways can this be done? 11.) Television viewers without cable in a certain city can receive 7 different channels. From 5:30 to 6:00 pm on weekdays, 3 channels show news from 6:00-6:30 pm, 5 channels show news; from 6:30 to 7pm, 4 channels show news; and from 7-7:30 pm, 2 channels show news. (a) If a viewing sequence consists of 4 half hour programs between 5:30 and 7:30, how many viewing sequences are there? (b) If a viewing sequence is chosen at random from the set of all possible sequences, what is the probability that all 4 programs selected are news programs? (c) Choosing a sequence as in part (b), what is the probability that a news program is selected at both 6pm and 6:30pm? 12.) Only 1 in 1,000 adults is afflicted with a rare disease for which a diagnostic test has been developed. The test is such that, when an individual actually has the disease, a positive result will occur 99% of the time, while an individual without the disease will show a positive result only 2% of the time. If a randomly chosen individual is tested and the result is positive, what is the probability that the individual has the disease? 13.) A chain of stereo stores is offering a special price on a complete set of components (receiver, compact disc player, speakers, cassette deck.) A purchaser is offered a choice of manufacturer for each component: Receiver: Kenwood, Onkyo, Pioneer, Sony, Sherwood Compact Disc Player: Onkyo, Pioneer, Sony,Technics Speakers: Boston, Infinity, Polk Cassette Deck: Onkyo, Pioneer, Teac, Technics A switchboard display in the store allows a customer to hook together any selection of components (consisting of one of each type) (a) How many different systems are possible? (b) How many different systems are possible if both the receiver and the disc player are to be Sony? (c) How many different systems are possible if none of the components are to be Sony? (d) What is the probability that the system selected contains at least one Sony component?

4 14.) Among the 400 inmates in the District s jail, some are first offenders, some serve terms of less than five years, and some serve longer terms, with the exact breakdown being: Term < 5 years (S) Longer Terms(L) Totals First Offenders (F) Hardened Criminals (H) Totals If one of the inmates is selected at random to be interviewed about jail conditions, H is the event that he is a hardened criminal, and L is the event that he is serving a longer term, determine each of the following probabilities directly from the entries and row and column totals of the table: a.) P(H) b.) P(L) c.) P(L and H) d.) P(H and L) e.) P(L H) f.) P(H L) 15.) If P(A)=.8, P(B)=.35, and P(A and B)=.28, check whether events A and B are independent. 16.) If two cards are drawn from an ordinary deck of 52 playing cards, what are the probabilities of getting two diamonds if the drawing is: a.) with replacement b.) without replacement 17.) Brendan has 4 red socks and 6 green socks thrown around in his drawer; the colors are not paired. One dark morning he randomly pulls out 2 socks. What is the probability that he will select a pair of red socks to wear to school? 18.) A telephone company concludes that 70% of its customers pay their monthly bill in full. A more detailed examination of company records indicate that 95% of the customers who pay one monthly bill in full will also pay the next monthly bill in full. Only 10 % of those who pay less than the full amount will pay in full the next month. a. Find the probability that a customer will pay two consecutive months in full. b. Find the probability that the customer will pay neither of the consecutive months in full. c. Find the probability that the customer will pay at least one month in full. d. Find the probability that the customer will pay exactly one month in full.

5 19.) A game spinner has two equal sections: three numbered 1, one section numbered two and four sections numbered three. The spinner is spun twice. What is the probability that the sum of the two spins is five? 20.) A student placement center has requests from 5 students for interviews regarding employment with a particular consulting firm. Three of these students are math majors and the other two students are statistics majors. Unfortunately, the interviewer has time to talk to only two of the students; these two will be randomly selected from among the five. What is the probability that at least one of the two students selected is a statistics major?

Chapter 6: Probability and Simulation. The study of randomness

Chapter 6: Probability and Simulation. The study of randomness Chapter 6: Probability and Simulation The study of randomness Introduction Probability is the study of chance. 6.1 focuses on simulation since actual observations are often not feasible. When we produce

More information

Chapter 6: Probability and Simulation. The study of randomness

Chapter 6: Probability and Simulation. The study of randomness Chapter 6: Probability and Simulation The study of randomness 6.1 Randomness Probability describes the pattern of chance outcomes. Probability is the basis of inference Meaning, the pattern of chance outcomes

More information

CHAPTERS 14 & 15 PROBABILITY STAT 203

CHAPTERS 14 & 15 PROBABILITY STAT 203 CHAPTERS 14 & 15 PROBABILITY STAT 203 Where this fits in 2 Up to now, we ve mostly discussed how to handle data (descriptive statistics) and how to collect data. Regression has been the only form of statistical

More information

Applied Statistics I

Applied Statistics I Applied Statistics I Liang Zhang Department of Mathematics, University of Utah June 12, 2008 Liang Zhang (UofU) Applied Statistics I June 12, 2008 1 / 29 In Probability, our main focus is to determine

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

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

Probability. Ms. Weinstein Probability & Statistics

Probability. Ms. Weinstein Probability & Statistics Probability Ms. Weinstein Probability & Statistics Definitions Sample Space The sample space, S, of a random phenomenon is the set of all possible outcomes. Event An event is a set of outcomes of a random

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Study Guide for Test III (MATH 1630) Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the number of subsets of the set. 1) {x x is an even

More information

Bell Work. Warm-Up Exercises. Two six-sided dice are rolled. Find the probability of each sum or 7

Bell Work. Warm-Up Exercises. Two six-sided dice are rolled. Find the probability of each sum or 7 Warm-Up Exercises Two six-sided dice are rolled. Find the probability of each sum. 1. 7 Bell Work 2. 5 or 7 3. You toss a coin 3 times. What is the probability of getting 3 heads? Warm-Up Notes Exercises

More information

Section Introduction to Sets

Section Introduction to Sets Section 1.1 - Introduction to Sets Definition: A set is a well-defined collection of objects usually denoted by uppercase letters. Definition: The elements, or members, of a set are denoted by lowercase

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

Such a description is the basis for a probability model. Here is the basic vocabulary we use.

Such a description is the basis for a probability model. Here is the basic vocabulary we use. 5.2.1 Probability Models When we toss a coin, we can t know the outcome in advance. What do we know? We are willing to say that the outcome will be either heads or tails. We believe that each of these

More information

Section 6.5 Conditional Probability

Section 6.5 Conditional Probability Section 6.5 Conditional Probability Example 1: An urn contains 5 green marbles and 7 black marbles. Two marbles are drawn in succession and without replacement from the urn. a) What is the probability

More information

Probability and Counting Techniques

Probability and Counting Techniques Probability and Counting Techniques Diana Pell (Multiplication Principle) Suppose that a task consists of t choices performed consecutively. Suppose that choice 1 can be performed in m 1 ways; for each

More information

2. The figure shows the face of a spinner. The numbers are all equally likely to occur.

2. The figure shows the face of a spinner. The numbers are all equally likely to occur. MYP IB Review 9 Probability Name: Date: 1. For a carnival game, a jar contains 20 blue marbles and 80 red marbles. 1. Children take turns randomly selecting a marble from the jar. If a blue marble is chosen,

More information

, -the of all of a probability experiment. consists of outcomes. (b) List the elements of the event consisting of a number that is greater than 4.

, -the of all of a probability experiment. consists of outcomes. (b) List the elements of the event consisting of a number that is greater than 4. 4-1 Sample Spaces and Probability as a general concept can be defined as the chance of an event occurring. In addition to being used in games of chance, probability is used in the fields of,, and forecasting,

More information

Module 4 Project Maths Development Team Draft (Version 2)

Module 4 Project Maths Development Team Draft (Version 2) 5 Week Modular Course in Statistics & Probability Strand 1 Module 4 Set Theory and Probability It is often said that the three basic rules of probability are: 1. Draw a picture 2. Draw a picture 3. Draw

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

Chapter 4: Probability and Counting Rules Chapter 4: Probability and Counting Rules Before we can move from descriptive statistics to inferential statistics, we need to have some understanding of probability: Ch4: Probability and Counting Rules

More information

, x {1, 2, k}, where k > 0. (a) Write down P(X = 2). (1) (b) Show that k = 3. (4) Find E(X). (2) (Total 7 marks)

, x {1, 2, k}, where k > 0. (a) Write down P(X = 2). (1) (b) Show that k = 3. (4) Find E(X). (2) (Total 7 marks) 1. The probability distribution of a discrete random variable X is given by 2 x P(X = x) = 14, x {1, 2, k}, where k > 0. Write down P(X = 2). (1) Show that k = 3. Find E(X). (Total 7 marks) 2. In a game

More information

Chapter 5: Probability: What are the Chances? Section 5.2 Probability Rules

Chapter 5: Probability: What are the Chances? Section 5.2 Probability Rules + Chapter 5: Probability: What are the Chances? Section 5.2 + Two-Way Tables and Probability When finding probabilities involving two events, a two-way table can display the sample space in a way that

More information

Topic : ADDITION OF PROBABILITIES (MUTUALLY EXCLUSIVE EVENTS) TIME : 4 X 45 minutes

Topic : ADDITION OF PROBABILITIES (MUTUALLY EXCLUSIVE EVENTS) TIME : 4 X 45 minutes Worksheet 6 th Topic : ADDITION OF PROBABILITIES (MUTUALLY EXCLUSIVE EVENTS) TIME : 4 X 45 minutes STANDARD COMPETENCY : 1. To use the statistics rules, the rules of counting, and the characteristic of

More information

2 C. 1 D. 2 4 D. 5 3 C. 25 D. 2

2 C. 1 D. 2 4 D. 5 3 C. 25 D. 2 Discrete Math Exam Review Name:. A bag contains oranges, grapefruits, and tangerine. A piece of fruit is chosen from the bag at random. What is the probability that a grapefruit will be chosen from the

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

STAT 155 Introductory Statistics. Lecture 11: Randomness and Probability Model

STAT 155 Introductory Statistics. Lecture 11: Randomness and Probability Model The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL STAT 155 Introductory Statistics Lecture 11: Randomness and Probability Model 10/5/06 Lecture 11 1 The Monty Hall Problem Let s Make A Deal: a game show

More information

Contents 2.1 Basic Concepts of Probability Methods of Assigning Probabilities Principle of Counting - Permutation and Combination 39

Contents 2.1 Basic Concepts of Probability Methods of Assigning Probabilities Principle of Counting - Permutation and Combination 39 CHAPTER 2 PROBABILITY Contents 2.1 Basic Concepts of Probability 38 2.2 Probability of an Event 39 2.3 Methods of Assigning Probabilities 39 2.4 Principle of Counting - Permutation and Combination 39 2.5

More information

STOR 155 Introductory Statistics. Lecture 10: Randomness and Probability Model

STOR 155 Introductory Statistics. Lecture 10: Randomness and Probability Model The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL STOR 155 Introductory Statistics Lecture 10: Randomness and Probability Model 10/6/09 Lecture 10 1 The Monty Hall Problem Let s Make A Deal: a game show

More information

Lenarz Math 102 Practice Exam # 3 Name: 1. A 10-sided die is rolled 100 times with the following results:

Lenarz Math 102 Practice Exam # 3 Name: 1. A 10-sided die is rolled 100 times with the following results: Lenarz Math 102 Practice Exam # 3 Name: 1. A 10-sided die is rolled 100 times with the following results: Outcome Frequency 1 8 2 8 3 12 4 7 5 15 8 7 8 8 13 9 9 10 12 (a) What is the experimental probability

More information

Unit 9: Probability Assignments

Unit 9: Probability Assignments Unit 9: Probability Assignments #1: Basic Probability In each of exercises 1 & 2, find the probability that the spinner shown would land on (a) red, (b) yellow, (c) blue. 1. 2. Y B B Y B R Y Y B R 3. Suppose

More information

CHAPTER 2 PROBABILITY. 2.1 Sample Space. 2.2 Events

CHAPTER 2 PROBABILITY. 2.1 Sample Space. 2.2 Events CHAPTER 2 PROBABILITY 2.1 Sample Space A probability model consists of the sample space and the way to assign probabilities. Sample space & sample point The sample space S, is the set of all possible outcomes

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

Directions: Solve the following problems. Circle your answers. length = 7 cm. width = 4 cm. height = 3 cm

Directions: Solve the following problems. Circle your answers. length = 7 cm. width = 4 cm. height = 3 cm length = 7 cm width = 4 cm height = 3 cm 2. Heidi has an odd number of stamps in her collection. The sum of the digits in the number of stamps she has is 12. The hundreds digit is three times the ones

More information

Chapter 15 Probability Rules!

Chapter 15 Probability Rules! Chapter 15 Probability Rules! 15-1 What s It About? Chapter 14 introduced students to basic probability concepts. Chapter 15 generalizes and expands the Addition and Multiplication Rules. We discuss conditional

More information

Mutually Exclusive Events Algebra 1

Mutually Exclusive Events Algebra 1 Name: Mutually Exclusive Events Algebra 1 Date: Mutually exclusive events are two events which have no outcomes in common. The probability that these two events would occur at the same time is zero. Exercise

More information

Probability and Randomness. Day 1

Probability and Randomness. Day 1 Probability and Randomness Day 1 Randomness and Probability The mathematics of chance is called. The probability of any outcome of a chance process is a number between that describes the proportion of

More information

Instructions: Choose the best answer and shade in the corresponding letter on the answer sheet provided. Be sure to include your name and student ID.

Instructions: Choose the best answer and shade in the corresponding letter on the answer sheet provided. Be sure to include your name and student ID. Math 3201 Unit 3 Probability Test 1 Unit Test Name: Part 1 Selected Response: Instructions: Choose the best answer and shade in the corresponding letter on the answer sheet provided. Be sure to include

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

SECONDARY 2 Honors ~ Lesson 9.2 Worksheet Intro to Probability

SECONDARY 2 Honors ~ Lesson 9.2 Worksheet Intro to Probability SECONDARY 2 Honors ~ Lesson 9.2 Worksheet Intro to Probability Name Period Write all probabilities as fractions in reduced form! Use the given information to complete problems 1-3. Five students have the

More information

3 The multiplication rule/miscellaneous counting problems

3 The multiplication rule/miscellaneous counting problems Practice for Exam 1 1 Axioms of probability, disjoint and independent events 1. Suppose P (A) = 0.4, P (B) = 0.5. (a) If A and B are independent, what is P (A B)? What is P (A B)? (b) If A and B are disjoint,

More information

Math 3201 Unit 3: Probability Name:

Math 3201 Unit 3: Probability Name: Multiple Choice Math 3201 Unit 3: Probability Name: 1. Given the following probabilities, which event is most likely to occur? A. P(A) = 0.2 B. P(B) = C. P(C) = 0.3 D. P(D) = 2. Three events, A, B, and

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

Chapter 3: Probability (Part 1)

Chapter 3: Probability (Part 1) Chapter 3: Probability (Part 1) 3.1: Basic Concepts of Probability and Counting Types of Probability There are at least three different types of probability Subjective Probability is found through people

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

Probability as a general concept can be defined as the chance of an event occurring.

Probability as a general concept can be defined as the chance of an event occurring. 3. Probability 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. Probability as a general

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

Austin and Sara s Game

Austin and Sara s Game Austin and Sara s Game 1. Suppose Austin picks a random whole number from 1 to 5 twice and adds them together. And suppose Sara picks a random whole number from 1 to 10. High score wins. What would you

More information

Textbook: pp Chapter 2: Probability Concepts and Applications

Textbook: pp Chapter 2: Probability Concepts and Applications 1 Textbook: pp. 39-80 Chapter 2: Probability Concepts and Applications 2 Learning Objectives After completing this chapter, students will be able to: Understand the basic foundations of probability analysis.

More information

7.1 Experiments, Sample Spaces, and Events

7.1 Experiments, Sample Spaces, and Events 7.1 Experiments, 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

More information

Exam 2 Review F09 O Brien. Finite Mathematics Exam 2 Review

Exam 2 Review F09 O Brien. Finite Mathematics Exam 2 Review Finite Mathematics Exam Review Approximately 5 0% of the questions on Exam will come from Chapters, 4, and 5. The remaining 70 75% will come from Chapter 7. To help you prepare for the first part of the

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

Study Island Statistics and Probability

Study Island Statistics and Probability Study Island Statistics and Probability Copyright 2014 Edmentum - All rights reserved. 1. An experiment is broken up into two parts. In the first part of the experiment, a six-sided die is rolled. In the

More information

Probability Concepts and Counting Rules

Probability Concepts and Counting Rules Probability Concepts and Counting Rules Chapter 4 McGraw-Hill/Irwin Dr. Ateq Ahmed Al-Ghamedi Department of Statistics P O Box 80203 King Abdulaziz University Jeddah 21589, Saudi Arabia ateq@kau.edu.sa

More information

Use this information to answer the following questions.

Use this information to answer the following questions. 1 Lisa drew a token out of the bag, recorded the result, and then put the token back into the bag. She did this 30 times and recorded the results in a bar graph. Use this information to answer the following

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

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

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

Axiomatic Probability

Axiomatic Probability Axiomatic Probability The objective of probability is to assign to each event A a number P(A), called the probability of the event A, which will give a precise measure of the chance thtat A will occur.

More information

MTH 103 H Final Exam. 1. I study and I pass the course is an example of a. (a) conjunction (b) disjunction. (c) conditional (d) connective

MTH 103 H Final Exam. 1. I study and I pass the course is an example of a. (a) conjunction (b) disjunction. (c) conditional (d) connective MTH 103 H Final Exam Name: 1. I study and I pass the course is an example of a (a) conjunction (b) disjunction (c) conditional (d) connective 2. Which of the following is equivalent to (p q)? (a) p q (b)

More information

Stat210 WorkSheet#2 Chapter#2

Stat210 WorkSheet#2 Chapter#2 1. When rolling a die 5 times, the number of elements of the sample space equals.(ans.=7,776) 2. If an experiment consists of throwing a die and then drawing a letter at random from the English alphabet,

More information

MAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability. Preliminary Concepts, Formulas, and Terminology

MAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability. Preliminary Concepts, Formulas, and Terminology MAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability Preliminary Concepts, Formulas, and Terminology Meanings of Basic Arithmetic Operations in Mathematics Addition: Generally

More information

Bayes stuff Red Cross and Blood Example

Bayes stuff Red Cross and Blood Example Bayes stuff Red Cross and Blood Example 42% of the workers at Motor Works are female, while 67% of the workers at City Bank are female. If one of these companies is selected at random (assume a 50-50 chance

More information

CHAPTER 8 Additional Probability Topics

CHAPTER 8 Additional Probability Topics CHAPTER 8 Additional Probability Topics 8.1. Conditional Probability Conditional probability arises in probability experiments when the person performing the experiment is given some extra information

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

3 The multiplication rule/miscellaneous counting problems

3 The multiplication rule/miscellaneous counting problems Practice for Exam 1 1 Axioms of probability, disjoint and independent events 1 Suppose P (A 0, P (B 05 (a If A and B are independent, what is P (A B? What is P (A B? (b If A and B are disjoint, what is

More information

Applications of Probability

Applications of Probability Applications of Probability CK-12 Kaitlyn Spong Say Thanks to the Authors Click http://www.ck12.org/saythanks (No sign in required) To access a customizable version of this book, as well as other interactive

More information

2. Julie draws a card at random from a standard deck of 52 playing cards. Determine the probability of the card being a diamond.

2. Julie draws a card at random from a standard deck of 52 playing cards. Determine the probability of the card being a diamond. Math 3201 Chapter 3 Review Name: Part I: Multiple Choice. Write the correct answer in the space provided at the end of this section. 1. Julie draws a card at random from a standard deck of 52 playing cards.

More information

Probability and Statistics 15% of EOC

Probability and Statistics 15% of EOC MGSE9-12.S.CP.1 1. Which of the following is true for A U B A: 2, 4, 6, 8 B: 5, 6, 7, 8, 9, 10 A. 6, 8 B. 2, 4, 6, 8 C. 2, 4, 5, 6, 6, 7, 8, 8, 9, 10 D. 2, 4, 5, 6, 7, 8, 9, 10 2. This Venn diagram shows

More information

November 6, Chapter 8: Probability: The Mathematics of Chance

November 6, Chapter 8: Probability: The Mathematics of Chance Chapter 8: Probability: The Mathematics of Chance November 6, 2013 Last Time Crystallographic notation Groups Crystallographic notation The first symbol is always a p, which indicates that the pattern

More information

Chapter 13 Test Review

Chapter 13 Test Review 1. The tree diagrams below show the sample space of choosing a cushion cover or a bedspread in silk or in cotton in red, orange, or green. Write the number of possible outcomes. A 6 B 10 C 12 D 4 Find

More information

Conditional Probability Worksheet

Conditional Probability Worksheet Conditional Probability Worksheet EXAMPLE 4. Drug Testing and Conditional Probability Suppose that a company claims it has a test that is 95% effective in determining whether an athlete is using a steroid.

More information

Conditional Probability Worksheet

Conditional Probability Worksheet Conditional Probability Worksheet P( A and B) P(A B) = P( B) Exercises 3-6, compute the conditional probabilities P( AB) and P( B A ) 3. P A = 0.7, P B = 0.4, P A B = 0.25 4. P A = 0.45, P B = 0.8, P A

More information

Independent Events B R Y

Independent Events B R Y . Independent Events Lesson Objectives Understand independent events. Use the multiplication rule and the addition rule of probability to solve problems with independent events. Vocabulary independent

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

13-6 Probabilities of Mutually Exclusive Events

13-6 Probabilities of Mutually Exclusive Events Determine whether the events are mutually exclusive or not mutually exclusive. Explain your reasoning. 1. drawing a card from a standard deck and getting a jack or a club The jack of clubs is an outcome

More information

Unit 19 Probability Review

Unit 19 Probability Review . What is sample space? All possible outcomes Unit 9 Probability Review 9. I can use the Fundamental Counting Principle to count the number of ways an event can happen. 2. What is the difference between

More information

MATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING DR. DAVID BRIDGE

MATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING DR. DAVID BRIDGE MATH 2053 - CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING 2009 - DR. DAVID BRIDGE MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Solve the

More information

Probability. Probabilty Impossibe Unlikely Equally Likely Likely Certain

Probability. Probabilty Impossibe Unlikely Equally Likely Likely Certain PROBABILITY Probability The likelihood or chance of an event occurring If an event is IMPOSSIBLE its probability is ZERO If an event is CERTAIN its probability is ONE So all probabilities lie between 0

More information

2 A fair coin is flipped 8 times. What is the probability of getting more heads than tails? A. 1 2 B E. NOTA

2 A fair coin is flipped 8 times. What is the probability of getting more heads than tails? A. 1 2 B E. NOTA For all questions, answer E. "NOTA" means none of the above answers is correct. Calculator use NO calculators will be permitted on any test other than the Statistics topic test. The word "deck" refers

More information

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG MATH DISCRETE MATHEMATICS INSTRUCTOR: P. WENG Counting and Probability Suggested Problems Basic Counting Skills, Inclusion-Exclusion, and Complement. (a An office building contains 7 floors and has 7 offices

More information

Statistics Intermediate Probability

Statistics Intermediate Probability Session 6 oscardavid.barrerarodriguez@sciencespo.fr April 3, 2018 and Sampling from a Population Outline 1 The Monty Hall Paradox Some Concepts: Event Algebra Axioms and Things About that are True Counting

More information

Mathacle. Name: Date:

Mathacle. Name: Date: Quiz Probability 1.) A telemarketer knows from past experience that when she makes a call, the probability that someone will answer the phone is 0.20. What is probability that the next two phone calls

More information

Instructions: Choose the best answer and shade the corresponding space on the answer sheet provide. Be sure to include your name and student numbers.

Instructions: Choose the best answer and shade the corresponding space on the answer sheet provide. Be sure to include your name and student numbers. Math 3201 Unit 3 Probability Assignment 1 Unit Assignment Name: Part 1 Selected Response: Instructions: Choose the best answer and shade the corresponding space on the answer sheet provide. Be sure to

More information

Chapter 1 - Set Theory

Chapter 1 - Set Theory Midterm review Math 3201 Name: Chapter 1 - Set Theory Part 1: Multiple Choice : 1) U = {hockey, basketball, golf, tennis, volleyball, soccer}. If B = {sports that use a ball}, which element would be in

More information

Part 1: I can express probability as a fraction, decimal, and percent

Part 1: I can express probability as a fraction, decimal, and percent Name: Pattern: Part 1: I can express probability as a fraction, decimal, and percent For #1 to #4, state the probability of each outcome. Write each answer as a) a fraction b) a decimal c) a percent Example:

More information

Final Exam Review for Week in Review

Final Exam Review for Week in Review Final Exam Review for Week in Review. a) Consumers will buy units of a certain product if the price is $5 per unit. For each decrease of $3 in the price, they will buy more units. Suppliers will provide

More information

Probability Quiz Review Sections

Probability Quiz Review Sections CP1 Math 2 Unit 9: Probability: Day 7/8 Topic Outline: Probability Quiz Review Sections 5.02-5.04 Name A probability cannot exceed 1. We express probability as a fraction, decimal, or percent. Probabilities

More information

Chapter 1. Probability

Chapter 1. Probability Chapter 1. Probability 1.1 Basic Concepts Scientific method a. For a given problem, we define measures that explains the problem well. b. Data is collected with observation and the measures are calculated.

More information

Math 1 Unit 4 Mid-Unit Review Chances of Winning

Math 1 Unit 4 Mid-Unit Review Chances of Winning Math 1 Unit 4 Mid-Unit Review Chances of Winning Name My child studied for the Unit 4 Mid-Unit Test. I am aware that tests are worth 40% of my child s grade. Parent Signature MM1D1 a. Apply the addition

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

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

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

4.3 Finding Probability Using Sets

4.3 Finding Probability Using Sets 4.3 Finding Probability Using ets When rolling a die with sides numbered from 1 to 20, if event A is the event that a number divisible by 5 is rolled: a) What is the sample space,? b) What is the event

More information

Exam III Review Problems

Exam III Review Problems c Kathryn Bollinger and Benjamin Aurispa, November 10, 2011 1 Exam III Review Problems Fall 2011 Note: Not every topic is covered in this review. Please also take a look at the previous Week-in-Reviews

More information

Algebra 2 Notes Section 10.1: Apply the Counting Principle and Permutations

Algebra 2 Notes Section 10.1: Apply the Counting Principle and Permutations Algebra 2 Notes Section 10.1: Apply the Counting Principle and Permutations Objective(s): Vocabulary: I. Fundamental Counting Principle: Two Events: Three or more Events: II. Permutation: (top of p. 684)

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

Lecture 6 Probability

Lecture 6 Probability Lecture 6 Probability Example: When you toss a coin, there are only two possible outcomes, heads and tails. What if we toss a coin two times? Figure below shows the results of tossing a coin 5000 times

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Mathematical Ideas Chapter 2 Review Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. ) In one town, 2% of all voters are Democrats. If two voters

More information

Spring 2016 Math 54 Test #2 Name: Write your work neatly. You may use TI calculator and formula sheet. Total points: 103

Spring 2016 Math 54 Test #2 Name: Write your work neatly. You may use TI calculator and formula sheet. Total points: 103 Spring 2016 Math 54 Test #2 Name: Write your work neatly. You may use TI calculator and formula sheet. Total points: 103 1. (8) The following are amounts of time (minutes) spent on hygiene and grooming

More information

Honors Precalculus Chapter 9 Summary Basic Combinatorics

Honors Precalculus Chapter 9 Summary Basic Combinatorics Honors Precalculus Chapter 9 Summary Basic Combinatorics A. Factorial: n! means 0! = Why? B. Counting principle: 1. How many different ways can a license plate be formed a) if 7 letters are used and each

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