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.

### 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?