# MCQs Estimation 2

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

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

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

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

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

6. In point estimation we get

7. The following statistics are unbiased

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

9. $1-\alpha$ is called

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

11. The other name of significance level is

12. A specific value calculated from sample is called

13. Level of confidence is denoted by

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

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

Most of the MCQs on this page are covered from Estimate and Estimation, Testing of Hypothesis, Parametric and Non-Parametric tests, etc. Let’s start the MCQs Hypothesis Testing quiz now.

Statistical inference is a branch of statistics in which we draw conclusions (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 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.
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.