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: Mr. Juan dela Cruz is a Statistics Professor who teaches graduate Statistics courses to English and Social Sciences masters students. He has observed that many of his students do not like the rigors of mathematical computing during class sessions especially when they have to use calculators instead of computers. He fielded a questionnaire to examine if students' attitude has bearing on their midterm and final examination results in his Statistics subject. With the data he gathered as shown in the table below, test whether attitude relates to Statistics examination performance at 0.05 level of significance. Test Performance Attitude Above Ave. Average Below Ave. Positive 27 32 8 Negative 18 25 36 page 2 Chi-Square test of independence 18