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

The distribution of a random variable $X$ is given below. The value of $k$ is:
$X = x$$-2$$-1$$0$$1$$2$$3$
$P(X = x)$$\frac{1}{10}$$k$$\frac{1}{5}$$2k$$\frac{3}{10}$$k$

$A$ 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

For the following cumulative distribution function $F(x)$ of a random variable $X$,find $P(3 < X \leq 5)$.
$x$$1$$2$$3$$4$$5$$6$
$F(x)$$0.2$$0.37$$0.48$$0.62$$0.85$$1$

If a die is thrown at random,then the expectation of the number on it is

$A$ random variable $X$ assumes values $1, 2, 3, \ldots, n$ with equal probabilities. If the ratio of the variance of $X$ to the expected value of $X$ is equal to $4$,then the value of $n$ 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