Important Estimation MCQs with Answers 2

The post is about Estimation MCQs with Answers. MCQs are all about statistical inference and cover the topics of estimation, estimator, point estimate, interval estimate, properties of a good estimator, unbiasedness, efficiency, sufficiency, Large sample, and sample estimation. There are 20 multiple-choice questions from the estimation section. Let us start with Estimation MCQs with Answers.

MCQs about statistical inference covering the topics estimation, estimator, point estimate, interval estimate, properties of a good estimator, unbiasedness, efficiency, sufficiency, Large sample, and sample estimation.

1. There are four steps involved with constructing a confidence interval. What is typically the first one?

 
 
 
 

2. In point estimation we get

 
 
 
 

3. After identifying a sample statistic, what is the proper order of the next three steps of constructing a confidence interval?

 
 
 
 

4. The probability that the confidence interval does not contain the population parameter is denoted by

 
 
 
 

5. A specific value calculated from a sample is called

 
 
 
 

6. A point estimate is often insufficient. Why?

 
 
 
 

7. The probability that the confidence interval does contain the parameter is denoted by

 
 
 
 

8. What happens as a sample size gets larger?

 
 
 
 

9. The formula used to estimate a parameter is called

 
 
 
 

10. Testing of hypothesis may be replaced by?

 
 
 
 

11. The level of confidence is denoted by

 
 
 
 

12. The way of finding the unknown value of the population parameter from the sample values by using a formula is called _____

 
 
 
 

13. The following is an unbiased estimator of the population variance $\sigma^2$

 
 
 
 

14. If $E(\hat{\theta})=\theta$ then $\hat{\theta}$ is called

 
 
 
 

15. The other name of the significance level is

 
 
 
 

16. A statistic $\hat{\theta}$ is said to be an unbiased estimator of $\theta$, if

 
 
 
 

17. The following statistics are unbiased

 
 
 
 

18. $1-\alpha$ is called

 
 
 
 

19. What will be the confidence level if the level of significance is 5% (0.05)

 
 
 
 

20. A function that is used to estimate a parameter is called

 
 
 
 

Estimation MCQs with Answers

Estimation MCQs with Answers
  • If $E(\hat{\theta})=\theta$ then $\hat{\theta}$ is called
  • A statistic $\hat{\theta}$ is said to be an unbiased estimator of $\theta$, if
  • The following statistics are unbiased
  • The following is an unbiased estimator of the population variance $\sigma^2$
  • In point estimation we get
  • The formula used to estimate a parameter is called
  • A specific value calculated from a sample is called
  • A function that is used to estimate a parameter is called
  • $1-\alpha$ is called
  • The level of confidence is denoted by
  • The other name of the significance level is
  • What will be the confidence level if the level of significance is 5% (0.05)
  • The probability that the confidence interval does not contain the population parameter is denoted by
  • The probability that the confidence interval does contain the parameter is denoted by
  • The way of finding the unknown value of the population parameter from the sample values by using a formula is called ——–.
  • There are four steps involved with constructing a confidence interval. What is typically the first one?
  • What happens as a sample size gets larger?
  • After identifying a sample statistic, what is the proper order of the next three steps of constructing a confidence interval?
  • Testing of hypothesis may be replaced by?
  • A point estimate is often insufficient. Why?
Statistics Help: Estimation MCQs with Answers

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