These are the steps in answering the problem:

Step 1: Problem Statement

Step 2: State the hypothesis and identify the claim

e.g.

H0:r = 0 (explanation)

Ha: r 0 (explanation) - claim

And identify the claim

Identify the Variables (What is Dependent and independent) of the problem:

e.g.

Dependent Work Efficiency Ratio Data

Independent Work Environment Ratio Data

Step 3: Choice of test statistic and level of significance

e.g.

Test Statistic: Pearson Product Moment of Correlation (two-tailed test)

Significance Level: = 0.05

Step 4: Computation (using PHStat)

Step 5: Decision rule and finding

e.g.

(Decision rule: Reject H0 if level of significance (a) > p - value )

Finding: a (0.05) > p - value (0.976)

Step 6: Decision

e.g.

Reject the null hypothesis

type 1 error

Step 7: Interpretation and Analysis

Step 8: Implications

Step 9: Conclusion

Classroom Exercise: Class 1 Class 2 Class 3 A course in Inferential 95 79 75 Statistics was taught among 83 82 68 Psychology students to three 87 81 71 different classes of students 85 69 67 86 77 73 by three different professors. 89 63 70 At the end of the semester, the 94 78 72 students were given the same 87 84 67 departmental examination of 93 79 73 88 81 69 100 points. The scores of 93 78 73 randomly selected students 81 80 66 are given below. Is there any 85 79 69 significant difference in the 83 67 65 84 75 71 scores between the three 87 64 68 groups of students? 92 76 70 85 82 65 91 77 71 86 79 67 ANALYSIS OF VARIANCE (ANOVA) 30