$A$ fair die is tossed twice in succession. If $X$ denotes the number of fours in $2$ tosses,then the probability distribution of $X$ is given by

  • A
    $X = x_i$$0$$1$$2$
    $P_i$$\frac{1}{36}$$\frac{25}{36}$$\frac{5}{18}$
  • B
    $X = x_i$$0$$1$$2$
    $P_i$$\frac{25}{36}$$\frac{1}{36}$$\frac{5}{18}$
  • C
    $X = x_i$$0$$1$$2$
    $P_i$$\frac{25}{36}$$\frac{5}{18}$$\frac{1}{36}$
  • D
    $X = x_i$$0$$1$$2$
    $P_i$$\frac{5}{18}$$\frac{1}{36}$$\frac{25}{36}$

Explore More

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

The p.d.f. of a discrete random variable $X$ is defined as $f(x) = \begin{cases} kx^2, & x \in \{0, 1, 2, 3, 4, 5, 6\} \\ 0, & \text{otherwise} \end{cases}$. Then the value of $F(4)$ (c.d.f.) is:

If the probability distribution of a random variable $X$ is as follows, then the variance of $X$ is
$\begin{array}{|c|c|c|c|c|}\hline X=x & 2 & 3 & 5 & 9 \\\hline P(X=x) & K & 2 K & 3 K^2 & K^2 \\\hline\end{array}$

If a random variable $X$ follows a Poisson distribution such that $P(X=1) = 3P(X=2)$, then $P(X=3) =$

In a pizza hut,the following distribution is found for the daily demand of pizzas. Then the expected daily demand and variance are respectively:
No. of Pizzas $(x_i)$$5$$6$$7$$8$$9$$10$
Probability $(P_i)$$0.07$$0.2$$0.3$$0.3$$0.07$$0.06$

Vedclass Products

For Students

Vedclass Test Series

Mock tests in real JEE/NEET style with performance analysis. 5-day free trial.

Start Free Trial
For Teachers

Exam Paper Generator

Generate Set A/B/C/D exam papers from 7.5L+ questions in 2 minutes. 3 chapters free.

Try Free
For Institutes

Online Exam Module

Live online exams with unlimited students, 360° analytics & white-label branding.

See Demo