$A$ random variable $X$ takes the values $0, 1, 2, 3, \dots$ with probability $P(X=x) = k(x+1)\left(\frac{1}{5}\right)^x$,where $k$ is a constant. Then $P(X=0)$ is

  • A
    $\frac{16}{25}$
  • B
    $\frac{7}{25}$
  • C
    $\frac{19}{25}$
  • D
    $\frac{18}{25}$

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Similar Questions

Which of the following cannot be a valid assignment of probabilities for outcomes of sample space $S = \{\omega_{1}, \omega_{2}, \omega_{3}, \omega_{4}, \omega_{5}, \omega_{6}, \omega_{7}\}$?
Outcome Probability
$\omega_{1}$ $0.1$
$\omega_{2}$ $0.2$
$\omega_{3}$ $0.3$
$\omega_{4}$ $0.4$
$\omega_{5}$ $0.5$
$\omega_{6}$ $0.6$
$\omega_{7}$ $0.7$

From a lot of $10$ items,which include $3$ defective items,a sample of $5$ items is drawn at random. Let the random variable $X$ denote the number of defective items in the sample. If the variance of $X$ is $\sigma^2$,then $96 \sigma^2$ is equal to....................

$A$ six-faced fair die is thrown until $2$ appears. What is the probability that $2$ appears in an even number of trials? (The die has six faces numbered $1, 2, 3, 4, 5,$ and $6$.)

$A$ $1$-rupee coin,a $2$-rupee coin,a $5$-rupee coin,and a $10$-rupee coin are tossed simultaneously. The expected value of the sum of the values of the coins that show heads up is:

If $m$ and ${\sigma ^2}$ are the mean and variance of a random variable $X$,whose distribution is given by:
$X=x$$0$$1$$2$$3$$4$
$P(X=x)$$\frac{1}{3}$$\frac{1}{2}$$0$$\frac{1}{6}$$0$

,then:

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