Chapter 2: Problem 14
Suppose \(X\) has a binomial distribution with parameters 6 and \(\frac{1}{2}\). Show that \(X=3\) is the most likely outcome.
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Chapter 2: Problem 14
Suppose \(X\) has a binomial distribution with parameters 6 and \(\frac{1}{2}\). Show that \(X=3\) is the most likely outcome.
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Calculate the moment generating function of a geometric random variable.
In Exercise 2 , if the coin is assumed fair, then, for \(n=2\), what are the probabilities associated with the values that \(X\) can take on?
Calculate the moment generating function of the uniform distribution on \((0,1) .\) Obtain \(E[X]\) and \(\operatorname{Var}[X]\) by differentiating.
Suppose five fair coins are tossed. Let \(E\) be the event that all coins land heads. Define the random variable \(I_{E}\) $$ I_{E}=\left\\{\begin{array}{ll} 1, & \text { if } E \text { occurs } \\ 0, & \text { if } E^{c} \text { occurs } \end{array}\right. $$ For what outcomes in the original sample space does \(I_{E}\) equal \(1 ?\) What is \(P\left\\{I_{E}=1\right\\} ?\)
Let the probability density of \(X\) be given by
$$
f(x)=\left\\{\begin{array}{ll}
c\left(4 x-2 x^{2}\right), & 0
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