Chapter 2: Problem 10
Suppose three fair dice are rolled. What is the probability at most one six appears?
Chapter 2: Problem 10
Suppose three fair dice are rolled. What is the probability at most one six appears?
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Get started for freeIf the coin is assumed fair, then, for \(n=2\), what are the probabilities associated with the values that \(X\) can take on?
Let \(X\) and \(Y\) be independent random variables with means \(\mu_{x}\) and \(\mu_{y}\) and variances \(\sigma_{x}^{2}\) and \(\sigma_{y}^{2}\). Show that $$ \operatorname{Var}(X Y)=\sigma_{x}^{2} \sigma_{y}^{2}+\mu_{y}^{2} \sigma_{x}^{2}+\mu_{x}^{2} \sigma_{y}^{2} $$
If a fair coin is successively flipped, find the probability that a head first appears on the fifth trial.
Suppose that two teams are playing a series of games, each of which is independently won by team \(A\) with probability \(p\) and by team \(B\) with probability \(1-p .\) The winner of the series is the first team to win four games. Find the expected number of games that are played, and evaluate this quantity when \(p=1 / 2\).
Suppose that the joint probability mass function of \(X\) and \(Y\) is $$ P(X=i, Y=j)=\left(\begin{array}{l} j \\ i \end{array}\right) e^{-2 \lambda} \lambda^{i} / j !, \quad 0 \leq i \leq j $$ (a) Find the probability mass function of \(Y\). (b) Find the probability mass function of \(X\). (c) Find the probability mass function of \(Y-X\).
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