Chapter 3: Problem 2
If \(X\) is \(\chi^{2}(5)\), determine the constants \(c\) and \(d\) so that
\(P(c
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Chapter 3: Problem 2
If \(X\) is \(\chi^{2}(5)\), determine the constants \(c\) and \(d\) so that
\(P(c
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Let \(X\) have the uniform distribution with pdf \(f(x)=1,0
Using the computer, obtain an overlay plot of the pmfs following two distributions: (a) Poisson distribution with \(\lambda=2\). (b) Binomial distribution with \(n=100\) and \(p=0.02\). Why would these distributions be approximately the same? Discuss.
Compute the measures of skewness and kurtosis of a gamma distribution which has parameters \(\alpha\) and \(\beta\).
Let the random variable \(X\) be \(N\left(\mu, \sigma^{2}\right) .\) What would this distribution be if \(\sigma^{2}=0 ?\) Hint: Look at the mgf of \(X\) for \(\sigma^{2}>0\) and investigate its limit as \(\sigma^{2} \rightarrow 0 .\)
Let \(X_{1}\) and \(X_{2}\) be independent with normal distributions \(N(6,1)\) and \(N(7,1)\), respectively. Find \(P\left(X_{1}>X_{2}\right)\) Hint: Write \(P\left(X_{1}>X_{2}\right)=P\left(X_{1}-X_{2}>0\right)\) and determine the distribution of \(X_{1}-X_{2}\)
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