Chapter 4: Problem 6
Using Exercise \(3.3 .22\), show that $$ \int_{0}^{p} \frac{n !}{(k-1) !(n-k) !} z^{k-1}(1-z)^{n-k} d z=\sum_{w=k}^{n}\left(\begin{array}{l} n \\ w \end{array}\right) p^{w}(1-p)^{n-w} $$ where \(0
Chapter 4: Problem 6
Using Exercise \(3.3 .22\), show that $$ \int_{0}^{p} \frac{n !}{(k-1) !(n-k) !} z^{k-1}(1-z)^{n-k} d z=\sum_{w=k}^{n}\left(\begin{array}{l} n \\ w \end{array}\right) p^{w}(1-p)^{n-w} $$ where \(0
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Define the sets \(A_{1}=\\{x:-\infty
A die was cast \(n=120\) independent times and the following data resulted: \begin{tabular}{c|cccccc} Spots Up & 1 & 2 & 3 & 4 & 5 & 6 \\ \hline Frequency & \(b\) & 20 & 20 & 20 & 20 & \(40-b\) \end{tabular} If we use a chi-square test, for what values of \(b\) would the hypothesis that the die is unbiased be rejected at the \(0.025\) significance level?
Prove the converse of Theorem MCT. That is, let \(X\) be a random variable with a continuous cdf \(F(x)\). Assume that \(F(x)\) is strictly increasing on the space of \(X .\) Consider the random variable \(Z=F(X)\). Show that \(Z\) has a uniform distribution on the interval \((0,1)\).
Let \(Y_{1}
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