Chapter 4. Probability Lecture 1 Sections: Fundamentals of Probability

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Chapter 4 Probability Lecture 1 Sections: 4.1 4.2 Fundamentals of Probability In discussing probabilities, we must take into consideration three things. Event: Any result or outcome from a procedure or experiment. Simple Event: An event that cannot be simplified. Sample Space: Set of all simple events from a procedure.

Example: Procedure Sample Space {Yes, No} {Heads, Tails} {Boy, Girl} Rolling a Die {1, 2, 3, 4, 5, 6} Asking a Girl Out Flipping a Coin Having a Baby Simple Event She Says Yes Getting Tails Having a Boy Rolling a 3 Question: If we were to roll two dice and get a number of 3, would that outcome be a simple event? The answer is no because the outcome or event of 3 is not in its simplest form. The simple form of 3 when you roll two dice is (1,2). What this means is that one die is showing a value of 1 and the other die is showing a value of 2. So the sample space of rolling two dice is as follows. (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) We will discuss how to obtain this sample space in Lecture 4

Probability Notation: P: Probability A, B, E and so on: Represents a specific event. P(E): Probability of event E occurring. Rules of Probability: 1. Relative Frequency Approximation of Probability. 2. Classical Approach. 3. Subjective Probabilities. Relative Frequency Approximation of Probability. For a large number of trials, conduct an experiment or make observations. Count the number of times event E occurred, then P( E ) = number of times E occures number of times trial was repeated For example, flip a coin a large number of times. Count how many times you flipped heads and how many times your flipped tails. You should notice that you result will be close to 0.5 for each outcome.

Classical Approach(Theoretical). An experiment has n different simple events and each of those simple events are equally likely in occurring. If event E can occur in s of these n ways, then Number of ways E can occur P ( E) = = Number of different simple events In our example of flipping a coin, we know that there are two simple events in our sample space. If we want to compute the probability of flipping heads, we know that the probability would be ½. Similarly for the probability of flipping tails. s n Subjective Probabilities. The probability is found by guessing. Before we continue, we need to understand the possible outcomes of probabilities. 0 P(E) 1 or 0% P(E) 100% There is no such thing as negative probability or a probability greater than 1 or 100% P(E)=0: impossible for event E to occur. P(E)=1: Certain for event E to occur. When you express a probability, express it as the exact fraction or as a decimal that is rounded to 3 decimal places. 3/8 = 0.375, 319/491 = 0.650. It is best to express a probability as a decimal because of its interpretation.

Examples: 1. A spinner has 4 equal sectors colored yellow, blue, green and red. After spinning the spinner, what is the probability of landing on each color? We first notice that the outcome are equally likely. Our sample space is {yellow, blue, green, red}. P(yellow)=1/4=0.25, P(blue)=1/4=0.25, P(green)=1/4=0.25, P(red)=1/4=0.25 2. In a recent survey of ELAC students, it was found that 330 students with the war in Iraq and 870 do not. What is the probability that ELAC students do not support the war in Iraq? Let E = do not support war in Iraq. Since there was 330 who support and 870 who do not support the war in Iraq, this tells us that there is a total of 1200 students that were surveyed. So, P(E)=870/1200=0.725 Example: 3. The game of Craps is a very popular game in Las Vegas. It is played by rolling two dice. When you make your first roll, if you roll a 7 you will win if you bet the Pass Line. What is the probability of rolling a seven in the game of Craps? We first need the sample space (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) 6 P (7) = = 0.167 36 Total number of outcomes is 36. 6 outcomes from the first die and 6 from the second. 6 6=36

Example: 4. A recently married couple are planning for the future and children are a big topic of discussion. The couple wants to have 3 children, preferably, they would like to have only 1 girl. What is the probability of them having 1 girl if they have 3 children? We first need the sample space BBB BBG BGB BGG GBB GBG GGB GGG 3 P (1 Girl) = = 0.375 8 Total of 8 outcomes. 2 3 = 2 2 2 = 8. How to obtain this sample space will be discussed further in lecture 3. 5. In 2001,1000 students transferred from ELAC to a four year institution. 50 of those students transferred to UCLA. What is the probability that if we randomly select an ELAC who transferred in 2001, they did not transfer to UCLA? Let E = Students who Transferred to UCLA. Since 50 of the 1000 students transferred to UCLA, this implies that 950 did not. So, 950 P(Did not transfer to UCLA)= P (E) = = 0.95 1000 This is referred to as the Complement of an Event. So, the Complement of event E is denoted as E and it consists of all outcomes in which event E does not occur. *NOTE: P(E) + P(E) = 1

Illustration of the complement of Event E. Not E = Complement of E E Event E 950 Student who did not transferred to UCLA Event E 50 Student who transferred to UCLA Sample Space 1000 Students who transferred from ELAC to a four year institution. 1. In a recent Gallup poll, 1038 adults were asked about the effects of second hand smoke. 20 of them indicated that second had smoke is not at all harmful. If you randomly select one of the surveyed adults, what is the probability of selecting someone who feels that second hand smoke is not at all harmful? Question: Is it unusual for someone to believe that second hand smoke is not at all harmful given the information above? Using probability, we can determine if a event is usual or unusual. If P(E) < 5%, then it is considered unusual. If P(E) 5%, then it is not considered unusual.

2. If there are 6 apples, 3 oranges, and 1 plum in a basket, what is the probability of choosing an apple without looking in the basket? 3. Mike has 50 Beatles songs, 20 Black Sabbath songs, 5 Metallica songs, 25 Bob Dylan and 10 talk radio podcasts on his ipod. If he selects the shuffle option, what is the probability that the first thing he listens to is a talk radio podcast? 4. The probability of it raining today is 0.25. What is the probability that is does not rain today? 5. If a person is randomly selected, find the probability that his or her birthday is not October 31. 6. If a person is randomly selected, find the probability that he or she was born on a day of the week that ends with the letter y. 7. If a person is randomly selected, what is the probability of he/she being born on February 30?

Odds Odds Against: Written as a:b where a and b are integers. The odds against an event is as follows: P( E) P( E) What are the odds against the outcome of 7 in Craps? 30 P( not7) 36 30 = = = 5 :1 P(7) 6 6 36 This tells us that the odds against us rolling a 7 is 5 to 1. More specifically, it tells us that if we roll a die 6 times (5 + 1), theoretically not 7 will be rolled 5 times and 7 will be rolled 1 time. Odds in Favor: Written as b:a where a an b are integers. The odds in favor of an even is as follows: P( E) P( E) What are the odds in favor of the outcome of 6 in Craps? P(6) = P( not 6) 5 36 31 36 5 : 31 This tells us that the odds in favor of us getting 6 is 5 to 31. More specifically, it tells us that if we roll a die 36 times (5 + 31), theoretically 6 will be rolled 5 times and not 6 will be rolled 31 time. = 5 31 =

1. A roulette wheel has 37 slots. One slot for the number 0, and the remaining 36 for the number 1 36, respectively. You place a bet that the outcome is the number 25. What are the odds in favor of winning? 2. In the same roulette wheel there are 18 red slots, 18 black slots and 1 green slot for the 0. You place a bet that the outcome is red. What are the odds against winning? 3. An unfair coin is tossed. If the probability of tails is 0.65, then the odds in favor of the tails are? 4. The odds against passing Math 227 are 4:6. find the probability of not passing the class.

Payoff Odds: (Net Profit) : (Amount Bet) The ratio of net profit, if you win, to the amount bet. For example, on the boxing fight, the payoff odds were 35:1. This tells us that for every $1 that we bet, we have the opportunity to win $35 in net profit. Furthermore, we will have $36 in our hand. If you bet $2, you would win $70. Furthermore, we will have $72 in our hand. This process can continue for any payoff odds. Example: You be $2 on a horse race which the Payoff Odds are 6:5. How much net profit do you make if you win? 2 1 st : = 0.4 2 nd : (0.4)(6) = 2. 4 5 Now, 2.4 represents $2.40 that is made in net profit. Furthermore, we will have a total of $4.40 in hand. $4.40 = $2.40(net profit) + $ 2.00(initial bet) 1. When you bet that the outcome is either red or black, the Payoff Odds are 1:1. How much net profit do you make if you place a bet of $100 that the outcome is black and win? 2. When you bet the 6 or 8 in craps, the Payoff Odds are 7:6. How much money will we have in our hand if we place a bet of $15 and win?