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# Lab3_WedSept9_ThursSept10_Sect9_12(2) - Stat 200 Lab 3 Sept...

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Stat 200: Lab 3: Sept 9 (Keep Completed Activity for Future Study) Activity 1 Below in Table 1 is the probability distribution function (pdf) of the following random variable: Let X = number of classes taken by full-time students this semester Table 1: Probability distribution function (pdf) K p(X = k) 4 .2 5 .4 6 .2 7 .2 Total 1.0 1. This pdf is an example of a binomial distribution? Yes No 2. What proportion of the students takes less than five classes? ______ 3. What proportion of the students takes more than five classes? _______ 4. Calculate the mean (expected) number of classes taken by full-time students. You are being asked to solve for μ (Your answer from part 1 will determine how you will solve for this mean). Answer: ____ Activity 2: Table 2 provides probabilities for a discrete random variable. Table 2 is an example of a: A. probability distribution function (pdf) . B. cumulative probability distribution function ( cdf). Table 2 k 0 1 2 3 4 .10 .30 .80 .90 1.00 Activity 3: TV Protection Plan At one of the “big-box” stores, there is a 42” LCD HDTV. The store offers a \$200 protection plan that is good for 3 years after the initial purchase of this TV. The store will give the customer \$1500 back if anything happens to the TV within these first 3 years. For those that elect to buy the protection plan, the probability that something happens to the TV within the first 3 years is .05. Buying the protection plan is a separate transaction from purchasing the TV. Let X

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Lab3_WedSept9_ThursSept10_Sect9_12(2) - Stat 200 Lab 3 Sept...

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