|
Yahoo |
Google |
Facebook |
LinkedIn |
Total |
Males |
129 |
560 |
77 |
51 |
817 |
Females |
76 |
540 |
34 |
33 |
383 |
Total |
205 |
800 |
111 |
84 |
1200 |
We will focus on Yahoo and Google.
- Yahoo prides itself on reaching out to women. Test to see if
the proportion of Women in the workforce for Yahoo is different
from the industry level of .31 (this is the industry level not
including Yahoo). This is a single proportion
problem. Show the calculation of the standard
error and the test statistic, as well as all the steps in your
test. Use an alpha level of .05.Would it have made a difference in
Part a if we expressed the test as a one-tailed, upper test?
Explain why does or does not make a difference.
- Next let’s do a difference of proportion test between Yahoo and
Google to see if we have evidence that the proportion of women
working at Yahoo is higher that that at Google. Use alpha = .05.
Show the calculation of the standard error and the test statistic,
as well as all the steps in your test.