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Which of these best describes the conclusion we could make using a 5% level of significance? Select one: a. Students who live on campus sleep significantly less on average than students who commute. b. Students who live on campus sleep significantly more on average than students who commute. c. Students who live on campus sleep less on average than students who commute, but the difference is not significant. d. Students who live on campus sleep more on average than students who commute, but the difference is not significant.

Which of these best describes the conclusion we could make using a 5% level of significance? Select one: a. Students who live on campus sleep significantly less on average than students who commute. b. Students who live on campus sleep significantly more on average than students who commute. c. Students who live on campus sleep less on average than students who commute, but the difference is not significant. d. Students who live on campus sleep more on average than students who commute, but the difference is not significant.

MATLAB: An Introduction with Applications
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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Which of these best describes the conclusion we could make using a 5% level of significance?

Select one:
a.

Students who live on campus sleep significantly less on average than students who commute.

b.

Students who live on campus sleep significantly more on average than students who commute.

c.

Students who live on campus sleep less on average than students who commute, but the difference is not significant.

d.

Students who live on campus sleep more on average than students who commute, but the difference is not significant.

Suppose we are interested in testing if the average amount of sleep for college students who live on campus is greater than the average amount of sleep that commuters get. Assume both populations are normally distributed and values are presented in hours. Two outputs are shown below: one for the difference of two means test with pooled variance and one where the variances are not pooled. When considering the order of subtraction, treat the students who live on campus as "Population 1" and the commuters as "Population 2". Use the output below to answer the following questions using a 5% level of significance. Statistics Variable Commuters On Campus Total Count 18 25 Mean StDev 6.778 1.114 7.240 1.589 Test- Unequal Variances Null hypothesis Alternative hypothesis T-Value DF P-Value 1.06 41 0.148 Test- Equal Variances Null hypothesis Alternative hypothesis T-Value DF P-Value 1.12 40 0.134
Transcribed Image Text:Suppose we are interested in testing if the average amount of sleep for college students who live on campus is greater than the average amount of sleep that commuters get. Assume both populations are normally distributed and values are presented in hours. Two outputs are shown below: one for the difference of two means test with pooled variance and one where the variances are not pooled. When considering the order of subtraction, treat the students who live on campus as "Population 1" and the commuters as "Population 2". Use the output below to answer the following questions using a 5% level of significance. Statistics Variable Commuters On Campus Total Count 18 25 Mean StDev 6.778 1.114 7.240 1.589 Test- Unequal Variances Null hypothesis Alternative hypothesis T-Value DF P-Value 1.06 41 0.148 Test- Equal Variances Null hypothesis Alternative hypothesis T-Value DF P-Value 1.12 40 0.134
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