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If X is a Random-variable Probability Distribution as Given Below: X = Xi :0 1 2 3 P (X = Xi) : K 3 K 3 K K Value of K and Its Variance Are (A) 1/8, 22/27 (B) 1/8, 23/27 (C) 1/8, 24/27 (D) 1/8, 3/4 - Mathematics

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Question

If X is a random-variable with probability distribution as given below:

X = xi : 0 1 2 3
P (X = xi) : k 3 k 3 k k

The value of k and its variance are


Options

  • 1/8, 22/27

  • 1/8, 23/27

  •  1/8, 24/27

  • 1/8, 3/4

     
MCQ

Solution

1/8, 3/4

We know that the sum of probabilities in a probability distribution is always 1.

∴ P (X = 0) + P (X = 1) + P (X = 2) + P (X = 3) = 1

\[\Rightarrow k + 3k + 3k + k = 1\]
\[ \Rightarrow 8k = 1\]
\[ \Rightarrow k = \frac{1}{8}\]

Now, 

xi pi pixi pixi2
0 k = \[\frac{1}{8}\]

0 0
1 3k  =\[\frac{3}{8}\]

\[\frac{3}{8}\]
 

\[\frac{3}{8}\]
2 3k = \[\frac{3}{8}\]

\[\frac{6}{8}\]
\[\frac{12}{8}\]
3 k = \[\frac{1}{8}\]

\[\frac{3}{8}\]
\[\frac{9}{8}\]
   
\[\sum\nolimits_{}^{}\]pixi = \[\frac{12}{8} =\frac{3}{2}\]
 

\[\sum\nolimits_{}^{}\] pixi2 =  \[\frac{24}{8}\]

\[\text{ Mean }  = \sum p_i x_i = \frac{3}{2}\]
\[\text{ Variance } = \sum p_i {x_i}2^{}_{} - \left( \text{ Mean }  \right)^2 = \frac{24}{8} - \left( \frac{3}{2} \right)^2 = \frac{24}{8} - \frac{9}{4} = \frac{24 - 18}{8} = \frac{6}{8} = \frac{3}{4}\]

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Chapter 32: Mean and Variance of a Random Variable - MCQ [Page 47]

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RD Sharma Mathematics [English] Class 12
Chapter 32 Mean and Variance of a Random Variable
MCQ | Q 5 | Page 47

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