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, 62 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 (x) total # of students (n) Friday Wednesday (b) Find the critical value. (c) Find the p-value. 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. O No 62 22 Standard Error: SE= 0.0283313724811677 (d) Is there sufficient data to support the claim? Yes 300 300 proportion = x/n 0.206666666666667 0.0733333333333333 Can you support the claim at the 0.01 significance level? (e) Find the critical value.
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, 62 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 (x) total # of students (n) Friday Wednesday (b) Find the critical value. (c) Find the p-value. 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. O No 62 22 Standard Error: SE= 0.0283313724811677 (d) Is there sufficient data to support the claim? Yes 300 300 proportion = x/n 0.206666666666667 0.0733333333333333 Can you support the claim at the 0.01 significance level? (e) Find the critical value.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text: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, 62
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 (x) total # of students (n)
Friday
Wednesday
(b) Find the critical value.
(c) Find the p-value.
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.
O No
62
22
Standard Error: SE= 0.0283313724811677
(d) Is there sufficient data to support the claim?
Yes
300
300
proportion = x/n
0.206666666666667
0.0733333333333333
Can you support the claim at the 0.01 significance level?
(e) Find the critical value.
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