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प्रश्न
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
पर्याय
1/8, 22/27
1/8, 23/27
1/8, 24/27
1/8, 3/4
उत्तर
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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