Chapter 7: Q.7.29 (page 365)
Suppose that X and Y are both Bernoulli random variables. Show that X and Y are independent if and only if Cov(X, Y) = 0.
Short Answer
It is clear from the calculation that the X and Y are independent Variables.
Chapter 7: Q.7.29 (page 365)
Suppose that X and Y are both Bernoulli random variables. Show that X and Y are independent if and only if Cov(X, Y) = 0.
It is clear from the calculation that the X and Y are independent Variables.
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Get started for freeConsider independent trials, each resulting in any one of possible outcomes with probabilities . Let denote the number of outcomes that never occur in any of the trials. Find and show that among all probability vectors is minimized when
In the text, we noted that
when the are all nonnegative random variables. Since
an integral is a limit of sums, one might expect that
whenever are all nonnegative random
variables; this result is indeed true. Use it to give another proof of the result that for a nonnegative random variable ,
Hint: Define, for each nonnegative , the random variable
by
role="math" localid="1647348183162"
Now relate
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For an event A, let IA equal 1 if A occurs and let it equal 0 if A does not occur. For a random variable X, show that E[X|A] = E[XIA] P(A
In Problem 7.9, compute the variance of the number of empty urns.
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