3. Consider the function \[ f(x)=\left\{\begin{array}{ll} C\left(2 x-x^{3}\right) & 0<x<\frac{5}{2} \\ 0 & \text { otherwise } \end{array}\right. \] Could \( f \) be a probability density function ? If so, determine \( C \). Repeat if \( f(x) \) were given by \[ f(x)=\left\{\begin{array}{ll} C^{\prime}\left(2 x-x^{2}\right) & 0<x<\frac{5}{2} \\ 0 & \text { otherwise } \end{array}\right. \]
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To determine if \( f(x) \) can be a probability density function (PDF), we need to ensure that it satisfies two conditions: Show more…
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Consider the function $$ f(x)= \begin{cases}C\left(2 x-x^{3}\right) & 0<x<\frac{5}{2} \\ 0 & \text { otherwise }\end{cases} $$ Could $f$ be a probability density function? If so, determine $C$. Repeat if $f(x)$ were given by $$ f(x)= \begin{cases}C\left(2 x-x^{2}\right) & 0<x<\frac{5}{2} \\ 0 & \text { otherwise }\end{cases} $$
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Consider the function $$f(x)=\left\{\begin{array}{ll}C\left(2 x-x^{3}\right) & 0<x<\frac{5}{2} \\0 & \text { otherwise }\end{array}\right.$$ Could $f$ be a probability density function? If so, determine $C .$ Repeat if $f(x)$ were given by $$f(x)=\left\{\begin{array}{ll}C\left(2 x-x^{2}\right) & 0<x<\frac{5}{2} \\0 & \text { otherwise }\end{array}\right.$$
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Let $f(x)=c /\left(1+x^{2}\right)$ \begin{equation} \begin{array}{l}{\text { (a) For what value of } c \text { is } f \text { a probability density function? }} \\ {\text { (b) For that value of } c, \text { find } P(-1 < X < 1) \text { . }}\end{array} \end{equation}
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