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प्रश्न
The standard deviation of the data:
| x: | 1 | a | a2 | .... | an |
| f: | nC0 | nC1 | nC2 | .... | nCn |
is
विकल्प
\[\left( \frac{1 + a^2}{2} \right)^n - \left( \frac{1 + a}{2} \right)^n\]
\[\left( \frac{1 + a^2}{2} \right)^{2n} - \left( \frac{1 + a}{2} \right)^n\]
\[\left( \frac{1 + a}{2} \right)^{2n} - \left( \frac{1 + a^2}{2} \right)^n\]
none of these
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उत्तर
none of these
| xi | fi | fixi |
\[{x_i}^2\]
|
\[f_i {x_i}^2\]
|
|---|---|---|---|---|
| 1 |
\[^{n}{}{C}_0\]
|
\[^{n}{}{C}_0\]
|
1 | 1 |
| a |
\[{n}{}{C}_1\]
|
a
\[^{n}{}{C}_1\]
|
a2 | a2
\[^{n}{}{C}_1\]
|
| a2 |
\[^{n}{}{C}_2\]
|
a2
=\[^{n}{}{C}_2\]
|
a4 | a4
\[^{n}{}{C}_2\]
|
| a3 |
\[^{n}{}{C}_3\]
|
a3
\[^{n}{}{C}_3\]
|
a6 | a6
\[^{n}{}{C}_3\]
|
| : : : : |
: : : |
: : : |
: : : |
: : : : |
| an |
\[^{n}{}{C}_n\]
|
an
\[^{n}{}{C}_n\]
|
a2n | a2n
\[^{n}{}{C}_n\]
|
|
\[\sum^n_{i = 1} f_i = 2^n\]
|
\[\sum^n_{i = 1} f_i x_i = \left( 1 + a \right)^n\]
|
\[\sum^n_{i = 1} f_i {x_i}^2 = \left( 1 + a^2 \right) {}^n\]
|
`"Number of terms," N = \sum_{i = 1}^2 f_i = 2^n `
` \sum _{i = 1}^2 f_i x_i = ^nC_0 + a ^nC_1 + a^2 "^nC_2 + . . . + a"^n "^nC_n = \left( 1 + a \right)^n `
`X = \frac{\sum_{i = 1}^n f_ix_i}{N}`
\[ = \frac{\left( 1 + a \right)^n}{2^n}\]
` \sum_{i = 1}^n f_i x_i^2 = \left( 1 + a^2 \right)^n`
`\sigma^2 = \text{ Variance } \left( X \right) = \frac{1}{N} \sum_{i = 1}^n f_i_x_i^2 - \left( {\sum_{i = 1}^n f_i x_i}/{N} \right)^2 `
\[ = \frac{\left( 1 + a^2 \right)^n}{2^n} - \left[ \frac{\left( 1 + a \right)^n}{2^n} \right]^2 \]
\[ = \left[ \frac{1 + a^2}{2} \right]^n - \left[ \frac{1 + a}{2} \right]^{2n} \]
\[\sigma = \sqrt{\text{ Variance } \left( X \right)} \]
\[ = \sqrt[]{\left[ \frac{1 + a^2}{2} \right]^n - \left[ \frac{1 + a}{2} \right]^{2n}}\]
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