This post contains multiple choice questions about Random Variable MCQ. The Quiz Random Varaible MCQ is about types of random variables, the generation of random numbers, the probability distribution of a random variable, etc. Let us start with the Random Variable MCQ Quiz.
Online MCQs about Random Variables with Answers
A Random Variable (random quantity or stochastic variable) is a set of possible values from a random experiment.
Random Variable MCQ Quiz
- A random variable is also called
- A random variable assuming only a finite number of values is called:
- A random variable assuming an infinite number of values is called
- The number of students in a class is an example of
- The speed of the car is an example of
- Random numbers can be generated mechanically by
- Suppose, four coins are tossed, the value of a random variable $H$ (No. of heads) is:
- A quantity which can vary from one individual to another is called
- A variable which can assume every value within a given range is called
- The lifetime of a car tire is
- Height measurements of 50 students studying in a college
- A variable whose value is determined by the outcome of a random experiment is called
- If $x$ is a discrete random variable, the function $f(x)$ is
- If $X$ and $Y$ are random variables then $E(X+Y)$ is equal to
- The sum of probabilities of a discrete random variable is
- A chi-square random variable can assume the value:
- The observed value of a statistic is:
- If $X$ is a uniform variate $U(5, 10)$ then the mean of $X$ is
- If $X$ is a uniform variate $U(5, 10)$ then the variance of $X$ is
- If $X\sim N(\mu, \sigma^2)$ and $a$ and $b$ are real numbers, then the mean of $(aX+b)$ is
The domain of a random variable is called sample space. For example, in the case of a coin toss experiment, there are only two possible outcomes, namely heads or tails. A random variable can be either discrete or continuous. The discrete random variable takes only certain values such as 1, 2, 3, etc., and a continuous random variable can take any value within a range such as the height of persons.
Learn about Pseudo-Random Numbers
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