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Show that there does not exist any numbercsuch that the following function would be a p.f.:

\(f\left( x \right) = \left\{ \begin{array}{l}\frac{c}{x}\;\;\;\;for\;x = 1,2,...\\0\;\;\;\;otherwise\end{array} \right.\)

Short Answer

Expert verified

There does not exist any number c such that \(f\left( x \right) = \left\{ \begin{array}{l}\frac{c}{x}\;\;for\;x = 1,2,...\\0\;\;\;\;otherwise\end{array} \right.\) is a probability function.

Step by step solution

01

Given information

The function is given as,

\(f\left( x \right) = \left\{ \begin{array}{l}\frac{c}{x}\;\;for\;x = 1,2,...\\0\;\;\;\;otherwise\end{array} \right.\)

02

Calculate the value for c

For a function to be a probability function, the sum of the probabilities in the distribution (over the support ) should be equal to 1.

From the provided function, the sum of the probabilities is computed as,

\(\begin{aligned}{c}\sum\limits_i {f\left( x \right)} &= \sum\limits_{x = 1}^\infty {\frac{c}{x}} \\ &= \left( {c + \frac{c}{2} + \frac{c}{3} + \frac{c}{4} + ...} \right)\\ &= c\left( {1 + \frac{1}{2} + \frac{1}{3} + ...} \right)\\ &= c\left( {\sum\limits_{n = 1}^\infty {\frac{1}{n}} } \right)\end{aligned}\)

It is known that the series diverges.

Hence, there does not exist any number c such that the provided function is a probability function.

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Most popular questions from this chapter

Question:Suppose that the joint p.d.f. ofXandYis as follows:

\(\)\({\bf{f}}\left( {{\bf{x,y}}} \right){\bf{ = }}\left\{ \begin{array}{l}\frac{{{\bf{15}}}}{{\bf{4}}}{{\bf{x}}^{\bf{2}}}\;{\bf{for}}\;{\bf{0}} \le {\bf{y}} \le {\bf{1 - }}{{\bf{x}}^{\bf{2}}}\\{\bf{0}}\;{\bf{otherwise}}\end{array} \right.\)

a. Determine the marginal p.d.f.’s ofXandY.

b. AreXandYindependent?

Question:Suppose thatXandYhave a continuous joint distribution for which the joint p.d.f. is

\({\bf{f}}\left( {{\bf{x,y}}} \right){\bf{ = }}\left\{ \begin{array}{l}{\bf{k}}\;{\bf{for}}\;{\bf{a}} \le {\bf{x}} \le {\bf{b}}\;{\bf{and}}\;{\bf{c}} \le {\bf{y}} \le {\bf{d}}\\{\bf{0}}\;{\bf{otherwise}}\end{array} \right.\)

wherea <b,c < d, andk >0.

Find the marginal distributions ofXandY.

Suppose that the p.d.f. of X is as follows:

\(\begin{aligned}f\left( x \right) &= e{}^{ - x},x > 0\\ &= 0,x \le 0\end{aligned}\)

Determine the p.d.f. of \({\bf{Y = }}{{\bf{X}}^{\frac{{\bf{1}}}{{\bf{2}}}}}\)

Suppose that\({X_1}....{X_n}\)are i.i.d. random variables, each having the following c.d.f.:\(F\left( x \right) = \left\{ \begin{array}{l}0\,\,\,\,\,\,\,\,\,\,\,\,\,\,for\,x \le 0\\1 - {e^{ - x}}\,\,\,for\,x > 0\end{array} \right.\)

Let\({Y_1} = min\left\{ {{X_1},{X_2}..{X_n}} \right\}\)and\({Y_n} = max\left\{ {{X_{1,}}{X_2}..{X_n}} \right\}\)Determine the conditional p.d.f. of\({Y_1}\)given that\({Y_n} = {y_n}\)

Suppose that \({{\bf{X}}_{\bf{1}}}{\bf{ \ldots }}{{\bf{X}}_{\bf{n}}}\)form a random sample of nobservations from the uniform distribution on the interval(0, 1), and let Y denote the second largest of the observations.Determine the p.d.f. of Y.Hint: First, determine thec.d.f. G of Y by noting that

\(\begin{aligned}G\left( y \right) &= \Pr \left( {Y \le y} \right)\\ &= \Pr \left( {At\,\,least\,\,n - 1\,\,observations\,\, \le \,\,y} \right)\end{aligned}\)

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