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

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1 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 Counting Principle to find the number of ways two or more events can occur 3. How to distinguish among classical probability, empirical probability, and subjective probability 4. How to find the probability of the complement of an event 5. How to use a tree diagram and the Fundamental Counting Principle to find probabilities Probability as a general concept can be defined as the chance of an event occurring. Processes such as flipping a coin, rolling a die, or drawing a card from a deck are called probability experiments. A probability experiment is an action, or chance process, through which specific results (counts, measurements, or responses) are obtained. A trial means flipping a coin once, rolling one die once, or the like. A trial is the action part of the experiment. An outcome is the result of a single trial in a probability experiment. When a coin is tossed, there are two possible outcomes: head or tail. In the roll of a single die, there are six possible outcomes: 1, 2, 3, 4, 5, or 6. A sample space is the set of all possible outcomes of a probability experiment. Example: Probability Experiment: Roll two dice and record the sum of the two numbers on the faces of the dice. That sum will equal a whole number between and including 2 and 12. There are 36 outcomes in the sample space. Each outcome is illustrated in the picture below.

2 Some more sample spaces for various probability experiments are shown here Example Find the sample space for drawing one card from an ordinary deck of cards. Definition A tree diagram is a device consisting of line segments emanating from a starting point and also from the outcome point. It is used to determine all possible outcomes of a probability experiment. Example Use a tree diagram to find the sample space for the gender if a family has three children. Use B for boy and G for girl.

3 Example Use a tree diagram to find the sample space for the experiment tossing a coin twice. Your Turn! A coin is flipped and a die is rolled. Use a tree diagram to find the sample space for the sequence of events. How many outcomes are in the sample space? What is the probability that the coin lands on tails and the die shows a 4? Your Turn! For each probability experiment, determine the number of outcomes and identify the sample space. 1. A probability experiment consists of recording a response to the survey question statement at the left and the gender of the respondent. 2. A probability experiment consists of recording a response to the survey question statement at the left and the geographic location (Northeast, South, Midwest, West) of the respondent.

4 More Definitions! An outcome was defined previously as the result of a single trial of a probability experiment. In many problems, one must find the probability of two or more outcomes. For this reason, it is necessary to distinguish between an outcome and an event. An event consists of a set of outcomes of a probability experiment. In the rest of this chapter, you will learn how to calculate the probability of an event. Events are often represented by uppercase letters, such as A,B or C. An event can be one outcome or more than one outcome. For example, if a die is rolled and a 6 shows, this result is called an outcome, since it is a result of a single trial. An event with one outcome is called a simple event. The event of getting an odd number when a die is rolled is called a compound event, since it consists of three outcomes or three simple events. In general, a compound event consists of two or more outcomes or simple events Identifying Simple Events A card is randomly selected from a standard deck that includes two joker cards. Some events have been defined below. Determine the number of outcomes in each event. Then decide whether the event is a simple event or not. Explain your reasoning. 3. Event A: select a heart card 4. Event B: select a 4 5. Event C: select a joker card 6. Event D: select a 4 of hearts Identifying Simple Events You roll a six-sided die. Some events have been defined below. Determine the number of outcomes in each event. Then decide whether the event is a simple event or not. Explain your reasoning. 7. Event A: roll at least a 3 8. Event B: roll less than 4 9. Event C: roll an odd number 10. Event D: roll a 4

5 In some cases, an event can occur in so many different ways that drawing a tree diagram becomes too cumbersome, and it is not practical to write out all the outcomes. When this happens, use the Fundamental Counting Principle. Fundamental Counting Principle If one event can occur in m ways and a second event can occur in n ways, the number of ways the two events can occur in sequence is m times n. In words, the number of ways that events can occur in sequence is found by multiplying the number of ways one event can occur by the number of ways the other event(s) can occur. The Fundamental Counting Principle can be extended for any number of events occurring in sequence. Using the Fundamental Counting Principle Example: Suppose you are purchasing a new car and the possible manufacturers, car sizes, and colors you have selected for your car are listed below. Manufacturer: Ford, GM, Honda Car size: compact, midsize Color: white (W), red (R), black (B), green (G) Question: How many different ways can you select one manufacturer, one car size, and one color? Use a tree diagram to check your result. Answer: There are three choices of manufacturers, two car sizes, and four colors. Using the Fundamental Counting Principle: (3)(2)(4) = 24 ways ATM passwords have four digits. Each digit can be any number from 0 and How many ATM passwords are possible when each digit can be used only once and not repeated?

6 12. How many ATM passwords are possible when each digit can be repeated? 13. How many ATM passwords are possible when each digit can be repeated but the first digit cannot be 0 or 1? 14. How many license plates can you make when a license plate consists of six (out of 26) alphabetical letters, each of which can be repeated? 15. How many license plates can you make when a license plate consists of six (out of 26) alphabetical letters, each of which cannot be repeated? Probabilities can be expressed as fractions, decimals percentages. If you ask, What is the probability of getting a head when a coin is tossed? typical responses can be any of the following three. One-half. Point-five fifty percent These answers are all equivalent. Rounding Rule for Probabilities Probabilities should be expressed as reduced fractions or rounded to two or three decimal places. Percentages are also acceptable. When the probability of an event is an extremely small decimal, it is permissible to round the decimal to the first nonzero digit after the point. For example, would be

7 There are three basic interpretations of probability: 1. Classical probability 2. Empirical probability (or relative frequency probability) 3. Subjective probability Classical (or theoretical) probability uses sample spaces to determine the numerical probability that an event will happen. Classical probability assumes that all outcomes in the sample space are equally likely to occur P(E) = Number of outcomes in E Total number of outcomes in the sample space Exercises: use the Classical technique to find the probability of each event below. 16. Rolling a Die If a die is rolled one time, find these probabilities. (a) Of getting a 4 (b) Of getting an even number (c) Of getting a number greater than 4 (d) Of getting a number less than 7 (e) Of getting a number greater than 0 (f) Of getting a number greater than 3 or an odd number (g) Of getting a number greater than 3 and an odd number 17. If two dice are rolled one time, find the probability of getting these results. (a) A sum of 6 (b) A sum of 7 or If one card is drawn from a deck, find the probability of getting these results. (a) An ace (b) A diamond (c) An ace of diamonds (d) A 4 or a 6 (e) A 4 or a club

8 Empirical (Relative Frequency) Probability Based on observations obtained from probability experiments. Relative frequency of an event. P(E) = frequency of event E Total frequencies in the distribution = f n The difference between classical and empirical probability is that classical probability assumes that certain outcomes are equally likely (such as the outcomes when a die is rolled), while empirical probability relies on actual experience to determine the likelihood of outcomes. Empirical probability is based on observations obtained from probability experiments. Relative Frequency Probability Examples: The probability that the next car that comes out of an auto factory is a lemon The probability that a randomly selected family in San Diego owns a home The probability that an 80-year-old person will live for at least 1 more year The probability that a randomly selected California driver owns a Toyota Prius. These probabilities cannot be computed using the classical probability rule because the various outcomes for the corresponding experiments are not equally likely. Exercises: use the Empirical (Relative Frequency) technique of finding probability. 19. Hospital records indicated that maternity patients stayed in the hospital for the number of days shown in the distribution. Find these probabilities. (a) A patient stayed exactly 5 days. Number of days stayed Frequency (b) A patient stayed less than 6 days (c) A patient stayed at most 4 days (d) A patient stayed at least 5 days. number In a sample of 50 people, 21 had type O blood, 22 had type A blood, 5 had type B blood, and 2 had type AB blood. Set up a frequency distribution and find the following probabilities. (a) A person has type O blood. (b) A person has type A or type B blood. (c) A person does not have type AB blood number

9 21. Suppose a teenager is randomly selected. Find the probability that he or she has made (a) 5 or fewer friends online (b) at least 2 friends online (c) no more than 1 friend online Source: Pew Research Center Aug Number of Relative new friends made online Frequency no friends friends friends friends On a construction site, there are 10 carpenters and 18 laborers; 3 carpenters and 5 laborers are females. A person working on the construction site is randomly selected. Set up a frequency distribution and find the following probabilities. (a) The person selected is a female (b) The person selected is a laborer (c) The person selected is a female carpenter

10 23. Try this! An individual stock is selected at random from the portfolio represented by the boxand-whisker plot shown. Find the probability that the stock price is (a) less than \$21, (b) between \$21 and \$50 and (c) \$30 or more. Subjective probability uses a probability value based on an educated guess or estimate, employing opinions and inexact information. In subjective probability, a person or group makes an educated guess at the chance that an event will occur. This guess is based on the persons experience and evaluation of a solution. The probability that Carol, who is taking a statistics course, will earn an A in the course The probability that the Dow Jones Industrial Average will be higher at the end of the next trading day A doctor may feel a patient has a 90% chance of a full recovery. All three types of probability (classical, empirical, and subjective) are used to solve a variety of problems in business, engineering, and other fields. 24. Exercises: Classify each statement as an example of classical probability, empirical probability, or subjective probability (a) The probability that a person will watch the 6 oclock evening news is (b) The probability of winning the final round of wheel of fortune (c) The probability that a city bus will be in an accident on a specific run is about 6%. (d) The probability of getting a royal flush when five cards are selected at random is 1/649,740 (e) An analyst feels that a certain stock s probability of decreasing in price over the next week is 0.75.

11 Law of Large Numbers As an experiment is repeated over and over, the empirical probability of an event approaches the theoretical (actual) probability of the event. Probability Rules 1. The probability of any event E is a number (either a fraction or decimal) between and including 0 and 1. This rule states that probabilities cannot be negative or greater than If an event E cannot occur (i.e., the event contains no members in the sample space), its probability is 0 3. If an event E is certain, then the probability of E is 1 (or 100%). 4. The sum of the probabilities of all the outcomes in the sample space is An event is considered unusual if occurs with a probability of 5% or less.

12 The Complement of An Event Recall that an event is a set of outcomes. The complement of an event E is the set of all outcomes in the sample space that are not included in event E. The complement of E is denoted either as E E c or Ē. For example, if we define an event A then the event s complement is denoted as A A c or Ā. Using the definition of the complement of an event and the fact that the sum of the probabilities of all outcomes in the sample space is one, we can determine that Write the complement rule here: P(E) + P(E c ) = A single die is rolled. Some events have been defined below. Find the complement of each event (a) Event E: roll an odd number (b) Event A: roll a 4 (c) Event B: roll at least a 3 (d) Event C: roll less than A card is randomly selected from a standard deck of 52 playing cards. Some events have been defined below. Find the complement of each event. (a) Event A: the card is a four (b) Event B: the card is a heart card (c) Event C: the card is a four of hearts 27. A card is randomly selected from a standard deck of playing cards, including two joker cards. Find each probability (a) Event A: the card is not a joker (b) Event B: the card is not an ace (c) Event C: the card is not a heart card 28. In 2013, 33% of LeastWorst Airlines customers who purchased a ticket spent an additional \$20 to be in the first boarding group. Choose one LeastWorst customer at random. What is the probability that the customer didnt spend the additional \$20 to be in the first boarding group?

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