Question

1. A random sample of people who work regular 9-5 hours and a random sample of people who work shifts were asked how many hours of sleep they get per day on average. An appropriate F-test was performed and it was found that the null hypothesis of the F-test should be rejected. Can we infer that there is a difference in the number of hours people sleep depending on whether they work 9-5 or shifts?

Printout # ??

??0: ??

??1: ??

p-value: ??

Conclusion:    Accept ??0 Reject ??0 ??

Select print out from below:

Analysis of variance (Amount): Source Sum of squares 3462.363 15070.775 18533.138 DF Mean es Pr> F 1154.121 13.555 <0.0001 85.146 Error Corrected Total 180 t-test for two independent samples/Two-tailed test: 95% confidence interval on the difference between the means: (0.276, 1.191) Fisher's F-test/Two-tailed test: 1.037 1.037 2.979 14 14 0.947 0.05 Ratio F (Observed value) CI (Critical value) DF1 DF2 p-value (Two-tailed) alpha Type I Sum of Squares analysis (Varl) Source Q1 Q2 Q1,Q2 DF Sum of res Mean squares 1.115 45.283 4.490 0.006 2.083 0.2070.892 0.294 11.250 135.850 6.250 11.250

Answer 1