The probability distribution of a random variable $X$ is given by the following table:
$X = x$$1$$2$$3$$\dots$$n$
$P(X = x)$$\frac{1}{n}$$\frac{1}{n}$$\frac{1}{n}$$\dots$$\frac{1}{n}$

Then $\operatorname{Var}(X) = $

  • A
    $\frac{n^2-1}{12}$
  • B
    $\frac{n^2-n}{6}$
  • C
    $\frac{n^2-n}{12}$
  • D
    $\frac{n^2-1}{6}$

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Similar Questions

Consider the probability distribution
$\begin{array}{|r|c|c|c|c|c|} \hline X=x & 1 & 2 & 3 & 4 & 5 \\ \hline P(X=x) & K & 2K & K^2 & 2K & 5K^2 \\ \hline \end{array}$
Then the value of $P(X > 2)$ is

For the following probability distribution, the standard deviation of the random variable $X$ is:
$X: 0, 1, 2$
$P(X): 0.3, 0.4, 0.3$

The variance of the following probability distribution is:
$x$$0$$1$$2$
$P(X)$$\frac{9}{16}$$\frac{3}{8}$$\frac{1}{16}$

$A$ random variable $X$ has the following probability distribution:
$X$ $0$ $1$ $2$ $3$ $4$ $5$ $6$ $7$
$P(X)$ $0$ $k$ $2k$ $2k$ $3k$ $k^2$ $2k^2$ $7k^2+k$

Determine $k$.

If $X$ is a Poisson variate with mean $2$,then $P\left(X>\frac{3}{2}\right)=$

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