Best MCQs Random Variable Quiz 3

The post is about Random Variable Quiz. There are 20 multiple-choice questions covering topics related to the basics of random variables, types of random variables, dependent and independent random variables, distribution of random variables, and mean and variance of random variables. Let us start with MCQs Random Variable Quiz.

Online MCQs about Random Variables with Answers

1. If $X$ is a continuous random variable, then function $f(x)$ is

 
 
 
 

2. For a continuous random variable, the area under the probability distribution curve between any two points is always

 
 
 
 

3. The distribution function $F(x)$ is equal to

 
 
 
 

4. $Var(2X+5) =$ ?

 
 
 
 

5. For a continuous random variable $X$, the total probability of the mutually exclusive events (intervals) within which $X$ can assume a value is

 
 
 
 

6. For a normal distribution, the $Z$ value for an $X$ value is to the right of the mean is always

 
 
 
 

7. If $Var(X) = 4$ then $Var(3X+5)$ is equal to

 
 
 
 

8. A continuous random variable is a random variable that can

 
 
 
 

9. If $X$ is a random variables, $a$ and $b$ are constants then $E(aX+b)$ is equal to

 
 
 
 

10. If $X$ and $Y$ are independent then $Var(X-Y)$ is

 
 
 
 

11. The probability that a continuous random variable assumes a single value is

 
 
 
 

12. $Var(X+4)=$?

 
 
 
 

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

 
 
 
 

14. If $X$ follows t-distribution with $v$ degrees of freedom then the distribution of $x^2$ is

 
 
 
 

15. If $X$ and $Y$ are independent random variables then $VAR(X-Y)$ is equal to

 
 
 
 

16. If $SD(X) = 3$ then $SD(X+4/6)$ is

 
 
 
 

17. If $X$ is a random varaible, then $Var(2-3X)$ is

 
 
 
 

18. $Var(3X – 4Y)=$?

 
 
 
 

19. $Var(X/3)=$?

 
 
 
 

20. If $X$ and $Y$ are independent random variables then $E(XY)$ is equal to

 
 
 
 

MCQs Random Variable Quiz

MCQs Random Variable Quiz with Answers
  • If $X$ and $Y$ are independent random variables then $E(XY)$ is equal to
  • If $X$ and $Y$ are independent random variables then $VAR(X-Y)$ is equal to
  • If $X$ is a random variables, $a$ and $b$ are constants then $E(aX+b)$ is equal to
  • If $X$ is a random varaible, then $Var(2-3X)$ is
  • $Var(2X+5) =$ ?
  • $Var(X+4)=$?
  • $Var(X/3)=$?
  • If $Var(X) = 4$ then $Var(3X+5)$ is equal to
  • If $SD(X) = 3$ then $SD(X+4/6)$ is
  • If $X$ and $Y$ are independent then $Var(X-Y)$ is
  • $Var(3X – 4Y)=$?
  • A continuous random variable is a random variable that can
  • For a continuous random variable, the area under the probability distribution curve between any two points is always
  • The probability that a continuous random variable assumes a single value is
  • For a continuous random variable $X$, the total probability of the mutually exclusive events (intervals) within which $X$ can assume a value is
  • If $X\sim N(\mu, \sigma^2)$ where $a$ and $b$ are real numbers, then variance of $(aX+b)$ is
  • For a normal distribution, the $Z$ value for an $X$ value is to the right of the mean is always
  • If $X$ follows t-distribution with $v$ degrees of freedom then the distribution of $x^2$ is
  • The distribution function $F(x)$ is equal to
  • If $X$ is a continuous random variable, then function $f(x)$ is
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