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. The formula used to estimate a parameter is called

 
 
 
 

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

 
 
 
 

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

 
 
 
 

4. $1-\alpha$ is called

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

8. Testing of hypothesis may be replaced by?

 
 
 
 

9. A point estimate is often insufficient. Why?

 
 
 
 

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

 
 
 
 

11. What happens as a sample size gets larger?

 
 
 
 

12. The following statistics are unbiased

 
 
 
 

13. The other name of the significance level is

 
 
 
 

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

 
 
 
 

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

 
 
 
 

16. A specific value calculated from a sample is called

 
 
 
 

17. In point estimation we get

 
 
 
 

18. The level of confidence is denoted by

 
 
 
 

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

 
 
 
 

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

 
 
 
 

Question 1 of 20

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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