Let $\sigma_1$ and $\sigma_2$ be the standard deviations of two distributions $D_1$ and $D_2$ respectively,and $D_1$ be more consistent than $D_2$. If the means of $D_1$ and $D_2$ are the same,then the percentage increase in the standard deviation of $D_2$ over the standard deviation of $D_1$ is:

  • A
    $\frac{\sigma_1-\sigma_2}{\sigma_2} \times 100$
  • B
    $\frac{\sigma_1-\sigma_2}{\sigma_1} \times 100$
  • C
    $\frac{\sigma_2-\sigma_1}{\sigma_2} \times 100$
  • D
    $\frac{\sigma_2-\sigma_1}{\sigma_1} \times 100$

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If $x_1, x_2, ..., x_n$ are $n$ observations such that $\sum_{i=1}^n x_i^2 = 400$ and $\sum_{i=1}^n x_i = 100$,then which of the following is a possible value of $n$?

Let $x_1, x_2, \ldots, x_{10}$ be ten observations such that $\sum_{i=1}^{10}(x_i-2)=30$,$\sum_{i=1}^{10}(x_i-\beta)^2=98$,$\beta > 2$ and their variance is $\frac{4}{5}$. If $\mu$ and $\sigma^2$ are respectively the mean and the variance of $2(x_1-1)+4\beta, 2(x_2-1)+4\beta, \ldots, 2(x_{10}-1)+4\beta$,then $\frac{\beta\mu}{\sigma^2}$ is equal to:

If the mean of $100$ observations is $50$ and their standard deviation is $5$,then the sum of squares of all observations is

Let $\mu$ be the mean and $\sigma$ be the standard deviation of the distribution:
$X_i$$0$$1$$2$$3$$4$$5$
$f_i$$k+2$$2k$$k^2-1$$k^2-1$$k^2-1$$k-3$
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For the following frequency distribution,find the variance:
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