If any of you would like to confirm if my understanding is correct or wrong,
I will be most grateful.
I have done an independent-samples t-test (two-tailed),
for difference between women/men how they see their own skill sett.
group women,n 76: mean 3,20 - std .980
group men,n 21: mean 3,71 - std .956
df= 95 sig.level set to 0.05
t= - 2.150 sig. (2-tailed) 0.034
(critical value= -1.98 to 1.98)
statistics significant difference between men and women ...
I reject the null hypothesis.
I am going to find out the the results for a one-tailed
test which SPSS do not check for.
H0: There is no difference in drivingskills between women and men.
H1:Women have lower driving skills then men.
I have understood that the principle is the same, but I have to
first be clear on the direction, which is negative (group 2 have a higher mean).
Then I need to divide the significant in 2 which was -2.150/2=-1.075.
The area at 0.05 with 95 df one-tailed test in the
"students distribution" shows me about -1.661.
I conclude therefore that I must accept the null hypothesis
when doing a one-tailed test (since I have the number - 1,075)
Am I very lost here or have I understood it and done it correctly?
(She said with hope).