By answering the problem, answer the steps provided using the chi-square test

Step 1: Problem Statement

Step 2: State the hypothesis and identify the claim

e.g.

H0: The study hour is not a predictor of the examination score.

H1: The study hour is a predictor of the examination score. - Claim

Variables:

Dependent - Examination Scores - Ratio Data

Independent - Study hours - Ratio Data

Step 3: Choice of test statistics and level of significance

e.g.

Test statistic: Simple Linear Regression

Significance Level: a = 0.05

Step 4: Computation(You can use PHstat)

Step 5: Decision Rule and Finding

e.g.

Decision Rule: Reject H0 if level of significance > p-value

Finding: a (0.05)

Step 6: Decision

e.g.

Do not reject the null hypothesis

Type II error

Step 7: Interpretation and analysis

Step 8: Implications

Step 9: Conclusion

Classroom Exercise: Two drugs were administered to two groups of randomly assigned patients to cure the same disease. One hundred twenty patients were involved in the research with the data given below revealing the number of patients who were cured and not cured by each of the two drugs. Test at 0.01 level of signicance whether the two drugs are similar (or otherwise) in curing and not curing the patients