Normal Probability Distribution MCQs 13

Test your understanding of Normal and Standard Normal distribution with these key MCQs. The Quiz Normal Probability Distribution MCQs covers probabilities, Z-scores, percentiles, transformations, and real-world applications. This Normal Probability Distribution MCQs Quiz is perfect for:

  • Statistics students (GATE, UG/PG exams)
  • Data analysts & scientists (interview prep)
  • Competitive exams (IAS, ACT, GRE)
    Includes detailed solutions for concepts like empirical rule, quartiles, mean deviation, and CLT. Boost your stats skills now!
Online Normal Probability Distribution MCQs with Answers

Online Normal Probability Distribution MCQs with Answers

Online Multiple Choice Type Questions about Normal Probability Distribution with Answers

1. The 99th percentile of the standard normal distribution is closest to:

 
 
 
 

2. The probability $P(Z\le 1.96)$ is approximately

 
 
 
 

3. If $X\sim N(\mu, \sigma^2)$ then $Z=\frac{X-\mu}{\sigma}$ follows

 
 
 
 

4. Given a random variable $X$ which is normally distributed with a mean and variance both equal to 100. The value of the mean deviation is approximately equal to

 
 
 
 

5. If $X$ is a normal variate with mean 50 and standard deviation 3, the value of the quartile deviation is approximately equal to

 
 
 
 

6. If $X$ is a normal variate with mean 20 and variance 1.6. The respective values of $\beta_1$ and $\beta_2$ are

 
 
 
 

7. If $Z$ is a standard normal variate, then $P(-2.33\le Z \le 2.33)$ is equal to

 
 
 
 

8. A normal distribution has the mean $\mu=200$. If 70% of the area under the curve lies to the left of 220, the area to the right of 220 is

 
 
 
 

9. A random variable has a normal distribution with the mean $\mu=400$. If 8% of the area under the curve lies to the left of 500, the area between 400 and 500 is

 
 
 
 

10. If $Z$ is a standard normal variate, then $P(-1.645 \le Z \le 1.645)$ is equal to

 
 
 
 

11. For a normal distribution with $\mu = 10, \sigma = 2$ the probability of a value greater than 10 is

 
 
 
 

12. In a normal distribution mean is 100 and the standard deviation is 10. The values of points of infection are:

 
 
 
 

13. If $X$ is $N(100, 5)$ the fourth central moment is

 
 
 
 

14. If a normal distribution with $\mu=200$ have $P(X> 22.5)=0.1587$ then $P(X<175)$ equal to

 
 
 
 

15. Given a normal distribution with $\mu=100$ and $\sigma^2=100$, the area to the left of 100 is

 
 
 
 

16. If $X \sim N(10, 4)$ and $Y\sim N(15, 9)$ are independent, what is the distribution of $X+Y$?

 
 
 
 

17. If $Y=5x+10$ and $X$ is N(10, 25), then mean of $Y$ is

 
 
 
 

18. If $Z$ is a standard normal variate, then $P(|Z| < 1.96)$ is equal to

 
 
 
 

19. If $X$ is a normal random variable with mean $\mu=50$ and standard deviation $\sigma = 7$, if $Y=x-7$ then standard deviation of $Y$ is

 
 
 
 

20. If $Z$ is a standard normal variate, then $P(-2.575\le Z \le 2.575)$ is equal to

 
 
 
 


  • If $Z$ is a standard normal variate, then $P(-1.645 \le Z \le 1.645)$ is equal to
  • If $Z$ is a standard normal variate, then $P(-2.33\le Z \le 2.33)$ is equal to
  • If $Z$ is a standard normal variate, then $P(-2.575\le Z \le 2.575)$ is equal to
  • If $Z$ is a standard normal variate, then $P(|Z| < 1.96)$ is equal to
  • For a normal distribution with $\mu = 10, \sigma = 2$, the probability of a value greater than 10 is
  • Given a random variable $X$ which is normally distributed with a mean and variance both equal to 100. The value of the mean deviation is approximately equal to
  • If $X$ is a normal variate with mean 50 and standard deviation 3, the value of the quartile deviation is approximately equal to
  • In a normal distribution mean is 100 and the standard deviation is 10. The values of points of infection are:
  • If $X$ is a normal variate with mean 20 and variance 1.6. The respective values of $\beta_1$ and $\beta_2$ are
  • If $X$ is $N(100, 5)$, the fourth central moment is
  • A normal distribution has the mean $\mu=200$. If 70% of the area under the curve lies to the left of 220, the area to the right of 220 is
  • Given a normal distribution with $\mu=100$ and $\sigma^2=100$, the area to the left of 100 is
  • If a normal distribution with $\mu=200$ have $P(X> 22.5)=0.1587$ then $P(X<175)$ equal to
  • A random variable has a normal distribution with the mean $\mu=400$. If 8% of the area under the curve lies to the left of 500, the area between 400 and 500 is
  • If $Y=5x+10$ and $X$ is N(10, 25), then mean of $Y$ is
  • If $X$ is a normal random variable with mean $\mu=50$ and standard deviation $\sigma = 7$, if $Y=x-7$ then standard deviation of $Y$ is
  • If $X\sim N(\mu, \sigma^2)$ then $Z=\frac{X-\mu}{\sigma}$ follows
  • The probability $P(Z\le 1.96)$ is approximately
  • The 99th percentile of the standard normal distribution is closest to:
  • If $X \sim N(10, 4)$ and $Y\sim N(15, 9)$ are independent, what is the distribution of $X+Y$?

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