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Discrete probability distributions 3)For every possible x value, 0 < P(x) < 1. 4) For all values of x, S P(x) = 1.

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Presentation on theme: "Discrete probability distributions 3)For every possible x value, 0 < P(x) < 1. 4) For all values of x, S P(x) = 1."— Presentation transcript:

1 Discrete probability distributions 3)For every possible x value, 0 < P(x) < 1. 4) For all values of x, S P(x) = 1.

2  Think About It… 1.In a game of dice a friend gives you a choice. If an even number is rolled you win $100, if a 5 is rolled you win $100. Which option would you choose? Why? 1.You friend now states if a 5 is rolled you will win $200. Which option would you choose? Why? 2.Again, your friend increased a roll of 5 to $300. Which option would you choose? Why 1.Finally your friend states a roll of 5 will win you $400. Which option would you choose? Why?

3 Random Variable -  A numerical variable whose value depends on the outcome of a chance experiment

4 Two types:  Discrete – count of some random variable  Continuous – measure of some random variable

5 Random Variable Example: Consider tossing a fair coin 3 times. Define X = the number of heads obtained

6 The probabilities p i must satisfy two requirements: 1.Every probability p i is a number between 0 and 1. 0 < P(x) < 1. 2.The sum of the probabilities is 1. Σ P(x) = 1. To find the probability of any event, add the probabilities p i of the particular values x i that make up the event. D ISCRETE

7 Discrete Probability Distribution  A distribution of a random variable gives its possible values and their probabilities. 1) Usually displayed in a table, but can be displayed with a histogram or formula

8 Probability Distribution Example: Consider tossing a fair coin 3 times. Define X = the number of heads obtained Make a Probability Distribution Chart Make a Probability Distribution Histogram

9 What are the chances  What is P(X > 2)  Show that this is a legitimate probability distribution.

10 Let x be the number of courses for which a randomly selected student at a certain university is registered. X 1 2 3 4 5 6 7 P(X).02.03.09 ?.40.16.05 P(x = 4) = P(x < 4) = What is the probability that the student is registered for at least five courses? Why does this not start at zero?.25.14.39 P(x > 5) =.61

11  Example: Babies ’ Health at Birth Read the example on page 343.(a) Show that the probability distribution for X is legitimate. (b) Make a histogram of the probability distribution. Describe what yousee. (c) Apgar scores of 7 or higher indicate a healthy baby. What is P ( X ≥ 7)? (a) All probabilities are between 0 and 1 and they add up to 1. This is a legitimate probability distribution. (b) The left-skewed shape of the distribution suggests a randomly selected newborn will have an Apgar score at the high end of the scale. There is a small chance of getting a baby with a score of 5 or lower. (c) P(X ≥ 7) =.908 We’d have a 91 % chance of randomly choosing a healthy baby. Value:012345678910 Probabilit y: 0.00 1 0.00 6 0.00 7 0.00 8 0.01 2 0.02 0 0.03 8 0.09 9 0.31 9 0.43 7 0.05 3

12 Formulas for mean & variance Found on formula card!

13 D ICE Expected Value Comparisons

14 Tebow Time! The NFL Draft is an annual event which is the most common source of player recruitment. In the first round of the 2010 NFL draft the Denver Broncos selected Tim Tebow. At the position of Quarterback Tebow’s ability was highly debated on a national level. The Broncos’ Franchise took a major risk, however, do no think for a second this was not a calculated risk. Imagine you are on the Broncos Management. Judging by his record in College, analysts predict Tebow has a 10% chance of becoming an elite quarterback, pulling in $20 million for the franchise. He has a 40% chance of being average, bringing in $10 million. Otherwise, he will be 2 nd or 3 rd string which brings in no money and would be a loss (the cost of the contract) of $9.7 million.

15  Example: Apgar Scores – What ’ s Typical? Consider the random variable X = Apgar Score Compute the mean of the random variable X and interpret it in context. Value:012345678910 Probability:0.0010.0060.0070.0080.0120.0200.0380.0990.3190.4370.053 The mean Apgar score of a randomly selected newborn is 8.128. This is the long- term average Agar score of many, many randomly chosen babies. Note: The expected value does not need to be a possible value of X or an integer! It is a long-term average over many repetitions.

16 You Try…  1. A college instructor teaching a large class traditionallygives 10% A ’ s, 20% B ’ s, 45% C ’ s, 15% D ’ s, and 10% F ’ s. If a student is chosen at random from the class, the student ’ s grade on a 4-point scale (A = 4) is a random variable X.Create the probability distribution of X.  What is the probability that a student has a grade point of 3or better in this class?  Draw a probability histogram to picture the probabilitydistribution of the random variable X.  2. Put all the letters of the alphabet in a hat. If youchoose a consonant, I pay you $1. If you choose avowel, I pay you $5. X is the random variablerepresenting the outcome of the experiment.  Create the distribution of X  What is your expected payoff (value) in this game?

17  2. Put all the letters of the alphabet in a hat. If youchoose a consonant, I pay you $1. If you choose avowel, I pay you $5. X is the random variablerepresenting the outcome of the experiment.  What is the game ’ s variance? The Standard deviation?

18 Let x be the number of courses for which a randomly selected student at a certain university is registered. X1234567 P(X).02.03.09.25.40.16.05 What is the expected value and standard deviations of this distribution? m = 4.66 & s = 1.2018

19 Is the formula the only way?!?!?!?!!? S TAT, 1:E DIT L 1 = R ANDOM V ARIABLE ( X ) L 2 = P ROBABILITY ( P I ) S TAT, C ALC, 1: 1-V AR S TATS 2 ND S TAT L 1 2 ND S TAT L 2 1-V AR S TATS L 1, L 2

20 Let x be the number of courses for which a randomly selected student at a certain university is registered. X1234567 P(X).02.03.09.25.40.16.05 What is the expected value and standard deviations of this distribution? m = 4.66 & s = 1.2018

21 . Box of 20 DVDs, 4 are defective. Select two from the box without replacement Identify your random variables. Create a Probability Distribution What is the mean (expected value) of the discrete random variable? What is the variance? The Standard Deviation?

22 C ARS IN A T OWN X = number of vehicles owned by a household in a random town P(0) =.05, P(1) =.45, P(2) =.275, P(3) =.1, P(4) =.075, P(5) =.05 Identify your random variables. Create a Probability Distribution What is the mean (expected value) of the discrete random variable? What is the variance? The Standard Deviation?

23 B OOK E DITOR X = # of errors that appear on a randomly selected page of a book X = 0, 1, 2, 3,4 P(0) =.73, P(1) =.16, P(2) =.06, P(3) =.04, P(4) =.01 Identify your random variables. Create a Probability Distribution What is the mean (expected value) of the discrete random variable? What is the variance? The Standard Deviation?

24 F LIGHTS FROM LA TO C HICAGO X = # of flights that are on time out of 3 independent flights P(0) =.064, P(1) =.288, P(2) =.432, P(3) =.216 Identify your random variables. Create a Probability Distribution What is the mean (expected value) of the discrete random variable? What is the variance? The Standard Deviation?

25 Linear combinations Just add or subtract the means! add If independent, always add the variances!

26 A nationwide standardized exam consists of a multiple choice section and a free response section. For each section, the mean and standard deviation are reported to be meanSD MC386 FR307 If the test score is computed by adding the multiple choice and free response, then what is the mean and standard deviation of the test? m = 68 & s = 9.2195

27 Linear function of a random variable If x is a random variable and a and b are numerical constants, then the random variable y is defined by  and The mean is changed by addition & multiplication! ONLY The standard deviation is ONLY changed by multiplication!

28 Let x be the number of gallons required to fill a propane tank. Suppose that the mean and standard deviation is 318 gal. and 42 gal., respectively. The company is considering the pricing model of a service charge of $50 plus $1.80 per gallon. Let y be the random variable of the amount billed. What is the mean and standard deviation for the amount billed? m = $622.40 & s = $75.60


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