Step 4 (determine your sample's score on the comparison distribution):Step 5 (decide whether to reject the null hypothesis):Effect SizeApproximate power (use table)

4. Barney wants to know if workers' health would improve if they were given extra days 'off. In this company, all workers undergo a standard physical exam twice a year and after each exam an overall health rating (higher scores mean better health) is automatically provided to the company. To conduct the study, Barney selected five workers at random who would then receive an additional 2 days off every month over the period between health exams. The psychologist then compared the health scores on the two exams. Do the results shown in the table below support the notion that extra days off improves health? (Use the .05 level.) Fill in the colored parts of the chart to help you with all the calculations. Health Rating, Before and After Period of Extra Days Off Deviation Worker Before After Difference (Difference - (After-before) M Squared Deviation A 75 81 6 3.80 14.44 B 66 67 1 -1.20 1.44 C 44 46 D 86 88 2 -0.20 0.04 89 89 0 -2.20 4.84 SUM 360 371 11 0.00 Mean 72 74.2 0 N DF (N-1) Population Var SD of population variance of distribution of means SD distrof means Mean (of the deviations) Effect size Step 1 (populations and hypotheses): Step 2 (determine the characteristics of the comparison distribution): Step 3 (determine cutoff sample score on the comparison distribution at which we'll reject Ho): 5