1 and p2 represent the proportion of all male and female faculty at the university who felt that the university was supportive of female and minority faculty at the time of the survey.
Is there evidence that the proportion of male faculty members was supportive of female and minority faculty is larger than the corresponding proportion for female faculty members? To determine this, you test the hypotheses:
H0:p1=p2
HA:p1>p2
What is the p-value of your test?
Between 0.05 and 0.01
Larger than 0.05
Below 0.001
Between 0.005 and 0.001
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OpenStudy (anonymous):
@nikato
OpenStudy (anonymous):
@whpalmer4
OpenStudy (anonymous):
@wio
OpenStudy (anonymous):
@sourwing
OpenStudy (anonymous):
@Luigi0210
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OpenStudy (anonymous):
@Zarkon
OpenStudy (anonymous):
@jamroz
OpenStudy (anonymous):
@agent0smith
OpenStudy (anonymous):
@eliassaab
OpenStudy (anonymous):
you need to provide the actual values of p1 and p2 ... also, ti83 has a nice stats functionality to it.
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OpenStudy (anonymous):
as a guess, since this is a right tailed test ... we are not going to have a 'between' solution.