Let a sample space be $S = \{\omega_{1}, \omega_{2}, \ldots, \omega_{6}\}$. Which of the following assignments of probabilities to each outcome is valid?
Outcome Probability
$\omega_{1}$ $1/8$
$\omega_{2}$ $2/3$
$\omega_{3}$ $1/3$
$\omega_{4}$ $1/3$
$\omega_{5}$ $-1/4$
$\omega_{6}$ $-1/3$

Vedclass pdf generator app on play store
Vedclass iOS app on app store
(NONE) For an assignment of probabilities to be valid,it must satisfy two conditions:
$1$. Each probability $P(\omega_{i})$ must be such that $0 \le P(\omega_{i}) \le 1$ for all $i$.
$2$. The sum of all probabilities must be equal to $1$,i.e.,$\sum_{i=1}^{6} P(\omega_{i}) = 1$.
In the given assignment,we observe that $P(\omega_{5}) = -1/4$ and $P(\omega_{6}) = -1/3$.
Since these probabilities are negative,they violate the first condition $(0 \le P(\omega_{i}) \le 1)$.
Therefore,this assignment of probabilities is not valid.

Explore More

Similar Questions

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

If the probability distribution of a random variable $X$ is given by the following table,then $F(0) =$ . . . . . .
$x_i$$-2$$-1$$0$$1$$2$
$P(X = x_i)$$0.2$$0.5$$0.15$$0.25$$0.1$

$A$ random variable $X$ takes the values $0, 1$ and $2$. If $P(X=1)=P(X=2)$ and $P(X=0)=0.4$,then the mean of the random variable $X$ is

Suppose the number of accidents occurring on a highway in each day follows a Poisson random variable with parameter $3$. Then,what is the probability that no accidents occur today?

$A$ random variable $X$ has the following probability distribution:
$X$$0$$1$$2$
$P(X)$$\frac{25}{36}$$k$$\frac{1}{36}$

If the mean of the random variable $X$ is $\frac{1}{3}$,then the variance is:

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