An organizational psychologist was interested in whether individuals working in different sectors of a company differed in their attitudes toward the company. The results for the three people surveyed in development were: 10, 12, and 11 For the three in the marketing department: 6, 6, and 8 For the three in accounting: 7, 4, and 4 For the three in production: 14, 16, and 13 Higher numbers mean more positive attitudes Was there a significant difference in attitude toward the company among employees in the different sectors at the 0.05 level? Development: M = 11, S2 = 1 Marketing: M = 6.67, S2 = 1.34 Accounting: M = 5, S2 = 3 Production: M = 14.33, S2 = 2.34

• What is the F ratio? explain a. 0.04 b. 4.82 c. 9.32 d. 27.91
• Explain how you calculated the between-groups and between-groups estimate of the population variance and the F ratio. Detail the process (i.e., the steps) in calculating this statistic. Do not just list equations. In your explanation, be sure to use the names of the concepts. For example, if you are calculating a deviation score, use that specific term. Do not simply say "that number."
• a sketch for this hypothesis test labeling: a) the cutoff(s) b) the rejection region(s) c) and the sample t-score
• What is your conclusion for this hypothesis test? a. reject the null b. accept the research hypothesis c. accept the null d. fail to reject the null
• Provide an interpretation of your findings and the report of the statistics for this hypothesis test. An interpretation is a one sentence conclusion of the hypothesis test that should be free of statistical jargon.