Chapter 3: Problem 18
If a fair coin is tossed at random five independent times, find the conditional probability of five heads given that there are at least four heads.
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Chapter 3: Problem 18
If a fair coin is tossed at random five independent times, find the conditional probability of five heads given that there are at least four heads.
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A certain job is completed in three steps in series. The means and standard deviations for the steps are (in minutes): $$ \begin{array}{ccc} \hline \text { Step } & \text { Mean } & \text { Standard Deviation } \\ \hline 1 & 17 & 2 \\ 2 & 13 & 1 \\ 3 & 13 & 2 \\ \hline \end{array} $$Assuming independent steps and normal distributions, compute the probability that the job will take less than 40 minutes to complete.
Let \(X\) have a Poisson distribution with mean \(1 .\) Compute, if it exists, the expected value \(E(X !)\)
Using the computer, obtain plots of beta pdfs for \(\alpha=5\) and \(\beta=1,2,5,10,20\).
Show that the moment generating function of the negative binomial distribution is \(M(t)=p^{r}\left[1-(1-p) e^{t}\right]^{-r}\). Find the mean and the variance of this distribution. Hint: In the summation representing \(M(t)\), make use of the MacLaurin's series for \((1-w)^{-r}\)
Let \(F\) have an \(F\) -distribution with parameters \(r_{1}\) and \(r_{2} .\) Prove that \(1 / F\) has an \(F\) -distribution with parameters \(r_{2}\) and \(r_{1}\).
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