MCQ on Hypothesis Testing in Statistics




Statistical hypothesis testing is a method used to assess the validity of claims about data. It involves formulating null and alternative hypotheses, conducting tests, and interpreting results to draw conclusions about population parameters from sample data. This MCQ on Hypothesis Testing will help you to understand the basic concepts and applications of testing of hypothesis.

You may also like: Hypothesis Testing Notes | PPT Hypothesis Testing |



What is a hypothesis in statistics?

What is the null hypothesis?

What is the alternative hypothesis?

What is the significance level in hypothesis testing?

What is a Type I error in hypothesis testing?

What is a Type II error in hypothesis testing?

What is the p-value in hypothesis testing?

When should the null hypothesis be rejected in hypothesis testing?

What is a one-tailed test in hypothesis testing?

What is a two-tailed test in hypothesis testing?

What is the critical region in hypothesis testing?

What is the test statistic in hypothesis testing?

What is the critical value in hypothesis testing?

What is the power of a statistical test?

What is a confidence interval in hypothesis testing?

You may also like: Biostatistics Notes  |  Biostatistics PPT  |  Biostatistics MCQs  |




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