MCQs Normal Probability Distribution

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Test your knowledge of MCQs Normal Probability Distribution with this 20-question MCQ quiz! Perfect for statisticians, data analysts, and scientists, this quiz covers key concepts like parameters, symmetry, standard deviation, quartiles, skewness, and more. Ideal for exam prep, job interviews, and competitive tests, these questions help reinforce your understanding of the normal distribution, its properties, and applications. Sharpen your skills and assess your expertise in one of the most fundamental topics in statistics! Let us start with the Online MCQs Normal Probability Distribution now.

Online MCQs Normal Probability Distribution with Answers

Online MCQs about Normal Probability Distribution with Answers

1. The shape of the normal curve depends upon the value of

 
 
 
 

2. if $x\sim N(\mu, \sigma^2)$, the points of inflection of normal distribution are

 
 
 
 

3. The value of $\pi$ is approximately equal to

 
 
 
 

4. In a normal probability distribution of a continuous random variable, the value of the standard deviation is

 
 
 
 

5. In a normal distribution whose mean is 1 and standard deviation 0, the value 4 quartile deviation is approximately

 
 
 
 

6. In a normal curve, the ordinate is highest at

 
 
 
 

7. In a normal distribution, the lower and upper quartiles are equidistant from the mean and are at a distance of

 
 
 
 

8. In a normal probability distribution for a continuous random variable, the value of the mean deviation is approximately equal to

 
 
 
 

9. The normal curve is symmetrical, and for a symmetrical distribution, the values of all odd-order moments about the mean will always be

 
 
 
 

10. In a standard normal distribution, the value of the mode is

 
 
 
 

11. The normal distribution is a proper probability of a continuous random variable; the total area under the curve $f(x)$ is

 
 
 
 

12. In the normal distribution

 
 
 
 

13. The range of the normal distribution is

 
 
 
 

14. The value of $e$ is approximately equal to

 
 
 
 

15. In a normal curve, the highest point on the curve occurs at the mean $\mu$, which is also the

 
 
 
 

16. Which of the following is true for the normal curve

 
 
 
 

17. The total area of the normal probability density function is equal to

 
 
 
 

18. If $X\sim N(\mu, \sigma^2)$, the standard normal variate is distributed as

 
 
 
 

19. The coefficient of skewness of a normal distribution is

 
 
 
 

20. The parameters of the normal distribution are

 
 
 
 


Online MCQs Normal Probability Distribution with Answers

  • The range of the normal distribution is
  • In the normal distribution
  • Which of the following is true for the normal curve
  • In a normal curve, the ordinate is highest at
  • The parameters of the normal distribution are
  • The shape of the normal curve depends upon the value of
  • The normal distribution is a proper probability of a continuous random variable; the total area under the curve $f(x)$ is
  • In a normal probability distribution of a continuous random variable, the value of the standard deviation is
  • In a normal curve, the highest point on the curve occurs at the mean $\mu$, which is also the
  • The normal curve is symmetrical, and for a symmetrical distribution, the values of all odd-order moments about the mean will always be
  • if $x\sim N(\mu, \sigma^2)$, the points of inflection of normal distribution are
  • In a normal probability distribution for a continuous random variable, the value of the mean deviation is approximately equal to
  • In a normal distribution whose mean is 1 and standard deviation 0, the value 4 quartile deviation is approximately
  • In a normal distribution, the lower and upper quartiles are equidistant from the mean and are at a distance of
  • The value of $e$ is approximately equal to
  • The value of $\pi$ is approximately equal to
  • If $X\sim N(\mu, \sigma^2)$, the standard normal variate is distributed as
  • The coefficient of skewness of a normal distribution is
  • The total area of the normal probability density function is equal to
  • In a standard normal distribution, the value of the mode is

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