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The Expected Value of Geometric Distributions Section 8.2.2 Starter 8.2.2 • The SAT Math and Verbal sections are both designed to have a mean of 500 and standard deviation of 100. • If we defined a new measure (TOTAL) by adding the scores on the two sections, what would you expect the mean and standard deviation of TOTAL to be? Objectives • Calculate the expected value (mean) of a geometric random variable. California Standards 5.0 Students know the definition of the mean of a discrete random variable and can determine the mean for a particular discrete random variable. 7.0 Students demonstrate an understanding of the standard distributions (normal, binomial, and exponential) and can use the distributions to solve for events in problems in which the distribution belongs to those families. Activity • Craps players are interested in how many rolls they should expect on average before a 7 comes up. What is your guess of the answer? Write it down. • Roll a pair of dice until you get a 7. Write down how many rolls it took to get the 7. • Repeat until you have a total of 10 trials. Report your results to me when I call for them. I will record them and display the distribution the class got. • Now answer the question based on our experimental distribution. Calculating the Expected Value • Here is the PDF of a general geometric distribution. Recall from Chapter 7 (page 387) how we found the mean of any random variable. Write an expression for the mean in this case. X 1 2 3 4 … P(X) p pq pq2 pq3 … 1( p) 2( pq) 3( pq ) 4( pq ) ... 2 3 p(1 2q 3q 4q ...) 2 1 p 2 1 2q q 3 (Not obvious; prove inductively) 1 p 2 1 q 1 p 2 p 1 p So, for example, if the probability 1 of rolling a 7 is , then it should 6 take about 6 rolls to get a 7. Objectives • Calculate the expected value (mean) of a geometric random variable. California Standards 5.0 Students know the definition of the mean of a discrete random variable and can determine the mean for a particular discrete random variable. 7.0 Students demonstrate an understanding of the standard distributions (normal, binomial, and exponential) and can use the distributions to solve for events in problems in which the distribution belongs to those families. Homework • Read pages 441 – 443 • Do problems 27 – 29