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Exercises 1- Determine the probability distributionβs missing The random variable x represent the number of the dependent children in the households. X 0 1 2 3 4 p(x) 0.07 0.20 0.38 ? 0.13 In exercise 2-3 Decide whether the distribution is a probability distribution .if it is not a probability distribution, identify the property (or properties) that are not satisfied 2- The random variable x represents the possible test scores X 0 1 2 3 4 P(x) 0.05 0.25 0.35 0.25 0.10 3- The random variable x represent the number of imperfections found X 0 1 2 3 4 5 3 1 1 1 1 β1 P(x) 4 10 20 25 50 100 4- Students in a class take a quiz with 8 questions. The number x of questions answered correctly can be approximated by the following probability distribution. Find a) Mean ,b)variance ,c) standard deviation X 0 1 2 3 4 5 6 7 8 P(x) 0.02 0.02 0.06 0.06 0.08 0.22 0.30 0.16 0.08 5-The random variable X has the following function π(π₯) a. b. c. d. e. x 4 5 6 7 P( X ο½ x) 1 16 1 16 1 4 3 16 8 9 1 8 5 16 ο· Prove that P(x) is probability mass function. Find the expected value ofX. Find the variance and standard deviation. Find the cumulative distributionπΉ(π). Find π(π > 3), π(4 < π < 7), π(π = 6.5) . 2 Find πΈ(2π), π2π 6- The following table is the probability distribution function of a discrete random variable X . a. b. c. d. e. f. X 0 1 3 4 6 P( X ο½ x) k 0.3 0.3 0.2 0.1 Find the value of k. Find the expected value of π (πΈ(π)). Find the cumulative distributionπΉ(π). Find the variance and standard deviation. Find (π β₯ 4), π(1 β€ π β€ 4), π(π = β1) . 2 Find πΈ(π + 1), ππ+1