TABLE 13-9
It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown.

Note: 2.051E - 05 = 2.051*10⁻⁰⁵ and 5.944E - 18 = 5.944*10⁻¹⁸.
-Referring to Table 13-9, to test the claim that SALARY depends positively on HOURS against the null hypothesis that SALARY does not depend linearly on HOURS, the p-value of the test statistic is
A) (5.944E-18)/2.
B) 5.944E-18.
C) (2.051E-05)/2.
D) 2.051E-05.

Question

TABLE 13-9
It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown.
  
Note: 2.051E - 05 = 2.051*10⁻⁰⁵ and 5.944E - 18 = 5.944*10⁻¹⁸.
-Referring to Table 13-9, to test the claim that SALARY depends positively on HOURS against the null hypothesis that SALARY does not depend linearly on HOURS, the p-value of the test statistic is
A) (5.944E-18)/2. 
B) 5.944E-18. 
C) (2.051E-05)/2. 
D) 2.051E-05.

Quizplus · Accepted Answer

The p-value for a one-tailed test is half of the p-value for a two-tailed test. Since the claim is that SALARY depends positively on HOURS, it is a one-tailed test, so the p-value is (5.944E-18)/2.

TABLE 13-9 It Is Believed That, the Average Numbers of Hours Spent