Estimation MCQs with Answers from Statistical Inference covering the topics of Estimation for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These quizzes are also helpful in getting admission to different colleges and Universities. The Estimation MCQs with Answers Quiz will help the learner to understand the related concepts and enhance the knowledge too. Let us start with the Online 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.

Statistical inference is a branch of statistics in which we conclude (make wise decisions) about the population parameter by making use of sample information. Statistical inference can be further divided into Estimation of parameters and testing of the hypothesis.

Estimation is a way of finding the unknown value of the population parameter from the sample information by using an estimator (a statistical formula) to estimate the parameter. One can estimate the population parameter by using two approaches (I) Point Estimation and (ii) Interval Estimation.

In point Estimation, a single numerical value is computed for each parameter, while in interval estimation a set of values (interval) for the parameter is constructed. The width of the confidence interval depends on the sample size and confidence coefficient. However, it can be decreased by increasing the sample size. The estimator is a formula used to estimate the population parameter by making use of sample information.

### 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 the 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?