Question

CAN YOU PLEASE FIX MY LAST TWO SENTENCES WITH THIS INFORMATION?

You note in your report both the t critical for a one tailed and a two tailed test. Identify whether you need to use a one tailed or a two tailed test for the test statistic and t critical. Then only compare the test statistic with that critical value. Otherwise when you mention both, it looks like you don't know which one to use.

t-Test: Two-Sample Assuming Unequal Variances
	x1	x2
Mean	52193.38182	76304.23
Variance	232207398.5	1.63E+08
Observations	22	22
Hypothesized Mean Difference	0
df	41
t Stat	-5.6918364
P(T<=t) one-tail	5.93102E-07
t Critical one-tail	1.682878002
P(T<=t) two-tail	1.1862E-06
t Critical two-tail	2.01954097

Salaries for Veteran and Non-Veteran with Bachelor degree for 2015-2016 were obtained. Sampling methodology is a stratified random sample - they randomly selected a subset of eligible universities, and then randomly sampled students from those universities that were expected to graduate in 2016. Selected participants were interviewed at graduation, and then followed-up with one year after Let u1 be average veteran AGI and let u2 be average non-veteran AGI. I am using hypothesis testing - your null would be that average veteran AGI = average non-veteran AGI, your alternative would be that veteran average AGI <> average non-veteran AGI.

Ho: u1 average veteran AGI = u2 average non-veteran AGI

Ha: u1 veteran average AGI not = u2average non-veteran AGI

Discussion

           Comparing the test statistic to the t critical value, t test statistic (-5.6918364)

Not = to the T Critical value (1.6829)of one tail and the T Critical value (2.01954) of the two tail, and thus fail to reject the null hypothesis. In other words, at the 0.05 level of significance, there is not sufficient evidence to support the veteran salaries do not vary from non-veterans.

Answer 1