If $\sum_{i = 1}^9 (x_i - 5) = 9$ and $\sum_{i = 1}^9 (x_i - 5)^2 = 45$,then the standard deviation of the $9$ items $x_1, x_2, ..., x_9$ is:

  • A
    $4$
  • B
    $2$
  • C
    $3$
  • D
    $9$

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Find the mean and variance for the following data:
$x_i$ $6$ $10$ $14$ $18$ $24$ $28$ $30$
$f_i$ $2$ $4$ $7$ $12$ $8$ $4$ $3$

Let $n$ observations $x_1, x_2, ....., x_n$ be such that $\sum {x_i}^2 = 400$ and $\sum x_i = 80$. Then,which of the following is a possible value for $n$?

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The variance is independent of the change of which of the following?

Find the mean and variance for the following frequency distribution.
Classes $0-10$ $10-20$ $20-30$ $30-40$ $40-50$
Frequencies $5$ $8$ $15$ $16$ $6$

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The marks obtained by students $A$ and $B$ in $3$ examinations are given below:
Marks of $A$ $30, 20, 40$
Marks of $B$ $70, 0, 5$

The ratio of the coefficient of variation of marks of $A$ and the coefficient of variation of marks of $B$ is:

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