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We want to test whether or not more students are absent on Friday afternoon classes than...

We want to test whether or not more students are absent on Friday afternoon classes than on Wednesday afternoon classes. In a random sample of 300 students with Friday afternoon classes, 61 missed the class. In a different random sample of 300 students with Wednesday afternoon classes, 22 missed the class. The table below summarizes this information. The standard error (SE) is given to save calculation time if you are not using software.

Class Day total # of absences (xx) total # of students (nn) proportion p^=x/np^=x/n
Friday 61 300 0.203333333333333
Wednesday 22 300 0.0733333333333333
Standard Error: SE = 0.0281895042196231

Test the claim that the absentee rate on all Friday afternoon classes is greater than the absentee rate on all Wednesday afternoon classes. Test this claim at the 0.05 significance level.

(a) Find the test statistic (to three decimal values)

(b) Find the pp-value (if smaller than 1.0e-5, write 0).

(c) Is there sufficient data to support the claim at the 0.05 significance level?
Yes
No

(d) Is there sufficient data to support the claim at the 0.01 significance level?
Yes
No

0 0
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