If the mean and standard deviation of $5$ observations $x_1, x_2, x_3, x_4, x_5$ are $10$ and $3$,respectively,then the variance of $6$ observations $x_1, x_2, x_3, x_4, x_5$ and $-50$ is equal to: (in $.5$)

  • A
    $509$
  • B
    $586$
  • C
    $582$
  • D
    $507$

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Consider the following frequency distribution:
$C$.$I$.$75$-$175$$175$-$275$$275$-$375$$375$-$475$$475$-$575$$575$-$675$$675$-$775$
$f_i$$3$$2$$1$$0$$1$$2$$3$
If the variance of this distribution is $60000$,then the coefficient of variation of the distribution is:

The standard deviation of the first $n$ natural numbers is . . . . . . .

If the standard deviation of $x_i$ is $10$,what will be the variance of $(50 + 5x_i)$?

The variance of $20$ observations is $5$. If each of the observations is multiplied by $2$,then the variance of the resulting observations is:

The mean and variance of a series of $5$ observations are $8$ and $24$ respectively. The mean and variance of another series of $3$ observations are $8$ and $24$ respectively. What is the variance of their combined series?

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