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Suppose that a random variableXhas a discrete distribution

with the following p.f.:

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

Find the value of the constantc.

Short Answer

Expert verified

The value of constant c is \(\frac{1}{2}\).

Step by step solution

01

Given information

The random variable X follows the discrete distribution.

The probability function is given as,

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

02

Calculate the value of constant c

It is known that the sum of the probabilities for all events in the sample space of an experiment is equal to 1.

From the provided probability function, the value for constant c is computed as,

\(\begin{aligned}{c}\sum\limits_i {f\left( x \right)} &= 1\\\sum\limits_{x = 0}^\infty {\frac{c}{{{2^x}}}} &= 1\\\left( {c + \frac{c}{2} + \frac{c}{4} + \frac{c}{8} + ...} \right)& = 1\\c\left( {1 + \frac{1}{2} + \frac{1}{{{2^2}}} + \frac{1}{{{2^3}}} + ...} \right)& = 1\end{aligned}\)

Since it’s an infinite series (geometric progression) with the first term as\({\bf{a = 1}}\)and the common ratio as\({\bf{r = }}\frac{{\bf{1}}}{{\bf{2}}}\), the sum of infinite series is obtained as,\(\frac{{\bf{a}}}{{{\bf{1 - r}}}}\).

Therefore,

\(\begin{aligned}{c}\frac{{c\left( 1 \right)}}{{1 - \frac{1}{2}}} &= 1\\2c& = 1\\c &= \frac{1}{2}\end{aligned}\)

Thus, the value of constant c is \(\frac{1}{2}\).

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Most popular questions from this chapter

Suppose that a box contains a large number of tacks and that the probability X that a particular tack will land with its point up when it is tossed varies from tack to tack in accordance with the following p.d.f.:

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

Suppose that a tack is selected at random from the box and that this tack is then tossed three times independently. Determine the probability that the tack will land with its point up on all three tosses.

Consider the Markov chain in Example 3.10.2 with initial

probability vector \(v = \left( {\frac{1}{2},\frac{1}{2}} \right)\) Where \(p = \left[ {\begin{array}{*{20}{c}}{\frac{1}{3}}&{\frac{2}{3}}\\{\frac{1}{3}}&{\frac{1}{3}}\end{array}} \right]\)

a.Find the probability vector specifying the probabilities

of the states at timen=2.

b.Find the two-step transition matrix

For the conditions of Exercise 9, determine the probabilitythat the interval from \({Y_1}\;to\;{Y_n}\) will not contain thepoint 1/3.

In Example 3.8.4, the p.d.f. of \({\bf{Y = }}{{\bf{X}}^{\bf{2}}}\) is much larger for values of y near 0 than for values of y near 1 despite the fact that the p.d.f. of X is flat. Give an intuitive reason why this occurs in this example.

Question:A painting process consists of two stages. In the first stage, the paint is applied, and in the second stage, a protective coat is added. Let X be the time spent on the first stage, and let Y be the time spent on the second stage. The first stage involves an inspection. If the paint fails the inspection, one must wait three minutes and apply the paint again. After a second application, there is no further inspection. The joint pdf.of X and Y is

\(f\left( {x,y} \right) = \left\{ \begin{array}{l}\frac{1}{3}if\,1 < x < 3\,and\,0 < y < 1\\\frac{1}{6}if\,1 < x < 3\,and\,0 < y < 1\,\\0\,\,otherwise.\\\,\end{array} \right.\,\,\)

a. Sketch the region where f (x, y) > 0. Note that it is not exactly a rectangle.

b. Find the marginal p.d.f.’s of X and Y.

c. Show that X and Y are independent.

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