A consultant for a large university studied the number of hours per week freshme

Question

A consultant for a large university studied the number of hours per week freshmen watch TV versus the 14 number of hours seniors do. The results of this study follow. Is there enough evidence to show the mean number of hours per week freshmen watch TV is different from the mean number of hours seniors do alpha = 0.005? For the hypothesis stated above (in terms of seniors-Freshmen): What is/are the critical value(s)? What is the decision? What is the p-value? Fill in only one of the following statements. If the Z table is appropriate, p-value = If the t table is appropriate,

Explanation / Answer

1) The critical value = 0.05

2) p value = 0.083, since p value is greater than 0.05, we fail to reject null hypothesis.

3)

Two-Sample T-Test and CI

Sample N Mean StDev SE Mean
1 10 18.10 7.87 2.5
2 6 11.60 3.97 1.6

Difference = mu (1) - mu (2)
Estimate for difference: 6.50
95% CI for difference: (-0.97, 13.97)
T-Test of difference = 0 (vs not =): T-Value = 1.87 P-Value = 0.083 DF = 14
Both use Pooled StDev = 6.7454

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