MCQs Inferential Statistics 3

MCQs from Inferential Statistics 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.

This MCQs quiz is about statistical inference. It will help you to understand the basic concepts related to Inferential statistics. This test will also help you to prepare yourself for different exam related to education or jobs.

1. A set (range) of values calculated from the sample data and it is likely to contain the true value of the parameter with some probability is called:


2. The estimator is said to be ___________ if the mean of the estimator is not equal to the mean of the population parameter.


3. Estimation can be classified into


4. A single value used to estimate a population value is called:


5. There are two main branches of statistical inference, namely


6. The numerical value which we determine from the sample for a population parameter is called


7. The estimate is the observed value of an:


8. The end points of a confidence interval are called:


9. A formula or rule used for estimating the parameter of interest is called:


10. ‘Statistic’ is an estimator and its computer values is called:


11. If $\hat{\theta}$ is the estimator of the parameter $\theta$, then $\hat{\theta}$ is called unbiased if:


12. A range (set) of values within which the population parameter is expected to occur is called:


13. The probability associated with confidence interval is called


14. The process of making estimates about the population parameter from a sample is called


15. The process of using sample data to estimate the values of unknown population parameters 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.

MCQs Inferential Statistics

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.


Take another MCQs test: MCQs Estimation

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