STA220H5 Lecture Notes - Test Statistic, Type I And Type Ii Errors, Null Hypothesis
Document Summary
Test and confidence interval for and and the chi-square distribution. The theory of a hypothesis test (type i and type ii errors) State ho, the null hypothesis, using the appropriate parameter. Use the same parameter and express this with an inequality. Before seeing your sample choose an alpha level. This is the level of significance for the test. Select the test statistic and check the assumptions. Using your test statistic and the selected alpha level specify the rejection (critical) region. These are values of your test statistic that will lead to rejection of ho. If this value falls into the rejection region reject ho and conclude ha at the specified alpha level. b) If this value is not in the rejection region you fail to reject ho and have no real conclusion. (ftr ho). (optional).
