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Suppose that X is a random variable for which E(X) = µ and Var(X) = σ 2
(a) Show that E [X(X - 1)] = µ(µ - 1) + σ 2
(b) Show that E [(X - c) 2 ] = (µ - c) 2 + σ 2 where c is an arbitrary constant.
the following data represent the number of miles per gallon achieved on the highway for small cars for the model year
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If the test contains 250 questions, what is the probability that Julie will score 75% or lower? (Use the normal approximation to the sampling distribution to solve this problem.)
A sample of 81 business managers on the West Coast had an average breakfast cost of $7.65. 13. At a = 0.05, what is the test value?
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