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. Testing of hypothesis may be replaced by?

 
 
 
 

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

 
 
 
 

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

 
 
 
 

4. In point estimation we get

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

10. What happens as a sample size gets larger?

 
 
 
 

11. The level of confidence is denoted by

 
 
 
 

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

 
 
 
 

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

 
 
 
 

14. The formula used to estimate a parameter is called

 
 
 
 

15. A specific value calculated from a sample is called

 
 
 
 

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

 
 
 
 

17. The other name of the significance level is

 
 
 
 

18. $1-\alpha$ is called

 
 
 
 

19. A point estimate is often insufficient. Why?

 
 
 
 

20. The following statistics are unbiased

 
 
 
 

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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