In the Practical Example, for gender bias, VAR.P is used but for the racial dsicrimination homework VAR.S is used. Why is that? As well for the gender bias example, for a T = 1.27, df = 172, your answer shows the p-value of .103 which is for ONE-sided according to the online calculator. Shouldn't it be TWO-sided (since H0: mu male = mu female) resulting in a p-value of 0.026? Thanks.

I think you are right Quang/Anas. When I VAR.S and the gender bias dataset I get a T of 1.26066 and a p-value (two sided) of 0.209. Is this what you got when you worked through the example?

I think they have an error in the homework. That is, the title being called 'population variance'. This title should've been the sample variance instead because we are investigating samples with unknown population variances here. That is why they used the VAR.S in their computation. The title was the misleading thing actually.

Hi guys good day. Yes, David my answer same as yours. Have you tried part 2 (below 35, and above 35)? For below 35, I got T score of 0.43, and p value of 0.67, differ from answer given ( T score=0.44, p value: 0.331) For above 35, I got T score of 1.45, and p value of 0.15, greatly differ from the answer given (T score=1.96, p value: 0.026) do you think the answer given is incorrect?