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Determine the constant \(c\) so that \(f(x)=c x(3-x)^{4}, 0

Short Answer

Expert verified
Therefore, the constant \(c\) that makes \(f(x) = c x(3-x)^{4}\) a valid pdf is \(c = \frac{2}{9}\).

Step by step solution

01

Setting Up the Integral

A pdf must satisfy the property that its integral over its full domain is 1. So we need to solve the equation \(\int_{0}^{3} f(x) dx = 1\). In this case, the integral to solve is \(\int_{0}^{3} c x(3-x)^{4} dx = 1\).
02

Substitution

Use substitution to simplify the integral. Let \(u = 3 - x\), then \(du = -dx\) and \(x = 3 - u\). The limits of the integral change to 3 for the lower limit and 0 for the upper limit. The integral to solve becomes \(-c \int_{3}^{0} u^{4}(3 - u)du\).
03

Switch the Limits of Integration and Simplify

Switching the limits of integration will get rid of the negative sign in front of the integral. This results in \(c \int_{0}^{3} u^{4}(3-u) du \). Expand the integrand \(u^{4}(3-u) = 3u^{4} - u^{5}\). So the integral to solve becomes \(c \int_{0}^{3} (3u^{4} - u^{5}) du\).
04

Evaluate the Integral

The integral can be solved using the power rule for integration: \(\int_{a}^{b} x^n dx = \frac{1}{n+1}x^{n+1} |_{a}^{b}\). Thus, the integral \(c \int_{0}^{3} (3u^{4} - u^{5}) du = c(\frac{3}{5}u^{5} - \frac{1}{6}u^{6}) |_{0}^{3} = c(45 - 81/2) = c(9/2)\). We set this equal to 1 and solve for \(c\).
05

Solve For \(c\)

\(\frac{9}{2}c = 1 \Rightarrow c = \frac{2}{9}\).

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Most popular questions from this chapter

Say the correlation coefficient between the heights of husbands and wives is \(0.70\) and the mean male height is 5 feet 10 inches with standard deviation 2 inches, and the mean female height is 5 feet 4 inches with standard deviation \(1 \frac{1}{2}\) inches. Assuming a bivariate normal distribution, what is the best guess of the height of a woman whose husband's height is 6 feet? Find a 95 percent prediction interval for her height.

If \(M\left(t_{1}, t_{2}\right)\) is the mgf of a bivariate normal distribution, compute the covariance by using the formula $$ \frac{\partial^{2} M(0,0)}{\partial t_{1} \partial t_{2}}-\frac{\partial M(0,0)}{\partial t_{1}} \frac{\partial M(0,0)}{\partial t_{2}} $$ Now let \(\psi\left(t_{1}, t_{2}\right)=\log M\left(t_{1}, t_{2}\right) .\) Show that \(\partial^{2} \psi(0,0) / \partial t_{1} \partial t_{2}\) gives this covariance directly.

. Let \(X\) and \(Y\) have the joint \(\operatorname{pmf} p(x, y)=e^{-2} /[x !(y-x) !], y=0,1,2, \ldots ;\) \(x=0,1, \ldots, y\), zero elsewhere. (a) Find the mgf \(M\left(t_{1}, t_{2}\right)\) of this joint distribution. (b) Compute the means, the variances, and the correlation coefficient of \(X\) and \(Y\). (c) Determine the conditional mean \(E(X \mid y)\). Hint: Note that $$ \sum_{x=0}^{y}\left[\exp \left(t_{1} x\right)\right] y ! /[x !(y-x) !]=\left[1+\exp \left(t_{1}\right)\right]^{y} $$ Why?

Find the uniform distribution of the continuous type on the interval \((b, c)\) that has the same mean and the same variance as those of a chi-square distribution with 8 degrees of freedom. That is, find \(b\) and \(c\).

Show that the constant \(c\) can be selected so that \(f(x)=c 2^{-x^{2}},-\infty

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