# Best Random Variable MCQ 2

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.

1. The sum of probabilities of a discrete random variable is

2. The speed of the car is an example of

3. A variable which can assume each and every value within a given range is called

4. A quantity which can vary from one individual to another is called

5. A random variable assuming an infinite number of values is called

6. Height measurements of 50 students studying in a college

7. A variable whose value is determined by the outcome of a random experiment is called

8. The lifetime of a car tire is

9. If $X\sim N(\mu, \sigma^2)$ and $a$ and $b$ are real numbers, then the mean of $(aX+b)$ is

10. A random variable is also called

11. If $X$ is a uniform variate $U(5, 10)$ then the mean of $X$ is

12. The observed value of a statistic is:

13. A random variable assuming only a finite number of values is called:

14. If $X$ and $Y$ are random variables then $E(X+Y)$ is equal to

15.

If $X$ is a uniform variate $U(5, 10)$ then the variance of $X$ is

16. Random numbers can be generated mechanically by

17. The number of students in a class is an example of

18. Suppose, four coins are tossed, the value of a random variable $H$ (No. of heads) is:

19. If $x$ is a discrete random variable, the function $f(x)$ is

20. A chi-square random variable can assume the value:

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.

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