Online MCQs Hypothesis Testing Questions with Answers. The Hypothesis Testing Quiz is important for the preparation of examinations 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.

Online MCQs about Hypothesis Testing with Answers

The goal of hypothesis testing is to assess the evidence against the null hypothesis (a statement about population also called claimed hypothesis). If the evidence is strong enough (based on the sample information), one can reject the null hypothesis and conclude that the alternative hypothesis is more likely to be true. However, it is important to remember that we never truly “prove” the alternative hypothesis; one can only reject the null hypothesis.

### Hypothesis Testing Questions MCQs

- Statistical inference is divided into two major branches as given below
- The probability of accepting the true null hypothesis is called
- The probability of rejecting a true null hypothesis is called
- If a false hypothesis is accepted, it is called
- Hypothesis testing and estimation are major classifications of
- The hypothesis that is tested for the possible purpose of rejection is called
- In testing of the hypothesis, the sampling distribution of the test statistics is based on the assumption that
- Which of the following cannot be considered as a hypothesis ($H_0$)
- The alternative hypothesis may be of the form
- The null hypothesis always contains some sign of
- Which of the following is not the composite hypothesis
- The critical region is the part of the sampling distribution for which the null hypothesis is
- The null hypothesis ($H_0$) is
- One-sided and two-sided tests are based on
- If the alternative hypothesis is of the form $H_1:\theta < \theta_0$ then the test will be
- If the alternative hypothesis is of the form, $H_1: \theta \ne \theta_0$ then the test will be
- If the population standard deviation is not known and the sample size is large ($n\ge 30$) then the test statistic to be used is
- In the t-test, we use
- For testing of the hypothesis about population proportion, we use
- The ———— of a test is the maximum probability with which we are willing to a risk of Type-I error.