Understanding Hypothesis Tests

This video tutorial explains how to determine the type of hypothesis test: left-tailed, right-tailed, or two-tailed. It focuses on analyzing the alternative hypothesis to identify the test type. The video provides examples for each test type, illustrating how the inequality signs in the alternative hypothesis determine the direction of the test. The tutorial concludes with a summary of the key points discussed.

What determines the type of hypothesis test?

• The null hypothesis

• The sample size

• The alternative hypothesis

• The significance level

Which symbol in the alternative hypothesis indicates a left-tailed test?

• Equal to

• Greater than

• Not equal to

• Less than

If the alternative hypothesis is 'mu < 4.5', what type of test is it?

• Right-tailed test

• Left-tailed test

• None of the above

• Two-tailed test

Which symbol in the alternative hypothesis indicates a right-tailed test?

• Less than

• Not equal to

• Greater than

• Equal to

If the alternative hypothesis is 'mu > 4.5', what type of test is it?

• Right-tailed test

• Two-tailed test

• Left-tailed test

• None of the above

Which symbol in the alternative hypothesis indicates a two-tailed test?

• Less than

• Greater than

• Not equal to

• Equal to

If the alternative hypothesis is 'mu ≠ 4.5', what type of test is it?

• Two-tailed test

• Left-tailed test

• None of the above

• Right-tailed test

In the first example, what type of test is indicated by 'p < 0.1'?

• Left-tailed test

• Two-tailed test

• None of the above

• Right-tailed test

In the second example, what type of test is indicated by 'p ≠ 0.66'?

• None of the above

• Left-tailed test

• Right-tailed test

• Two-tailed test

In the third example, what type of test is indicated by 'p > 0.6'?

• Left-tailed test

• Right-tailed test

• Two-tailed test

• None of the above