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Suppose that a random variable X has a discrete distribution for which the p.f. is as follows:

\(f\left( x \right) = \left\{ {\begin{aligned}{{}{}}{cx}&{{\rm{for }}x = 1,2,3,4,5,6}\\0&{{\rm{otherwise}}}\end{aligned}} \right.\)

Determine all the medians of this distribution.

Short Answer

Expert verified

The median of X is 5.

Step by step solution

01

Given information

The random variable X has a discrete distribution for which the p.f. is as shown below.

\(f\left( x \right) = \left\{ {\begin{aligned}{{}{}}{cx}&{{\rm{for }}x = 1,2,3,4,5,6}\\0&{{\rm{otherwise}}}\end{aligned}} \right.\)

02

Find c

We know:

Then, the probability function of X is:

\(f\left( x \right) = \left\{ {\begin{aligned}{{}{}}{\frac{x}{{21}}}&{{\rm{for }}x = 1,2,3,4,5,6}\\0&{{\rm{otherwise}}}\end{aligned}} \right.\)

03

Find the probability of each value of X

Using the probability function defined in the previous step, find the probability of each value that the random variable X can take as follows:

\(\begin{aligned}{}f\left( 1 \right) &= \frac{1}{{21}}\\f\left( 2 \right) &= \frac{2}{{21}}\\f\left( 3 \right) &= \frac{3}{{21}}\\f\left( 4 \right) &= \frac{4}{{21}}\\f\left( 5 \right) &= \frac{5}{{21}}\\f\left( 6 \right) &= \frac{6}{{21}}\end{aligned}\)

04

Find the median of X

From the above values, it can be inferred that, \(\Pr \left( {X \le 5} \right) = \frac{{15}}{{21}} \ge \frac{1}{2}{\rm{ and }}\Pr \left( {X \ge 5} \right) = \frac{{11}}{{21}} \ge \frac{1}{2}\)

Hence, \(x = 5\) satisfies both the conditions of a median. It should be noted that no other value of X satisfies both the conditions of a median.

Thus, the median of X is 5.

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Most popular questions from this chapter

LetYbe a discrete random variable whose p.f. is the

functionfin Example 4.1.4. LetX= |Y|. Prove that the

distribution ofXhas the p.d.f. in Example 4.1.5

\({\bf{f}}\left( {\bf{x}} \right){\bf{ = }}\left\{ \begin{array}{l}\frac{{\bf{1}}}{{{\bf{2}}\left| {\bf{x}} \right|\left( {\left| {\bf{x}} \right|{\bf{ + 1}}} \right)}}{\bf{,x = \pm 1, \pm 2 \ldots ,}}\\{\bf{0,Otherwise}}\end{array} \right.\)

\({\bf{f}}\left( {\bf{x}} \right){\bf{ = }}\left\{ \begin{array}{l}\frac{{\bf{1}}}{{{\bf{x}}\left( {{\bf{x + 1}}} \right)}}{\bf{,x = 1,2,3 \ldots ,}}\\{\bf{0,Otherwise}}\end{array} \right.\)

Suppose that a random variable X has a continuous distribution for which the pdf is as follows:

\(f\left( x \right) = \left\{ {\begin{aligned}{{}{}}{{e^{ - x}}}&{{\rm{for }}x > 0}\\0&{{\rm{otherwise}}}\end{aligned}} \right.\)

Determine all the medians of this distribution.

Suppose that the distribution of X is symmetric with respect to the point \(x = 0\), that all moments of X exist, and that \(E\left( {\left. Y \right|X} \right) = aX + b\), where a and b are given constants. Show that \({X^{2m}}\) and \(Y\) are uncorrelated for \(m = 1,2,....\).

Let X be a random variable with c.d.f F. Suppose that\(a < b\)are numbers such that both a and b are medians of X.

  1. Prove that\(F\left( a \right) = \frac{1}{2}\).
  2. Prove that there exists a smallest \(c \le a\)and a largest\(d \ge b\)such that every number in the closed interval\(\left( {c,d} \right)\) is a median of X.
  3. If X has a discrete distribution, prove that \(F\left( d \right) > \frac{1}{2}\).

Let X have the binomial distribution with parameters n and p. Let Y have the binomial distribution with parameters n and \(1 - p\). Prove that the skewness of Y is the negative of the skewness of X. Hint: Let \(Z = n - X\) and show that Z has the same distribution as Y.

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