From Nov3 lecture H0 = means of "one", "two" are same. 1. Normal distribution, z-score with N1=4, N2=4 (inaccurate) 2. Unpaired t-test 3. Paired t-test
							t-Test: Two-Sample Assuming Equal Variances
								Variable 1	Variable 2
							Mean	11.75	10.75
							Variance	1.583333333	2.25
							Observations	4	4
	one	two					Pooled Variance	1.916666667
	10	9					Hypothesized Mean Difference	0
	12	10					df	6
	12	12					t Stat	1.021507837
	13	12					P(T<=t) one-tail	0.173211036
							t Critical one-tail	1.943180905
							P(T<=t) two-tail	0.346422072
							t Critical two-tail	2.446913641
							t-Test: Paired Two Sample for Means
	one			two				Variable 1	Variable 2
							Mean	11.75	10.75
	Mean	11.75		Mean	10.75		Variance	1.583333333	2.25
	Standard Error	0.62915287		Standard Error	0.75		Observations	4	4
	Median	12		Median	11		Pearson Correlation	0.838870493
	Mode	12		Mode	12		Hypothesized Mean Difference	0
	Standard Deviation	1.25830574		Standard Deviation	1.5		df	3
	Sample Variance	1.58333333		Sample Variance	2.25		t Stat	2.449489743
	Kurtosis	2.22714681		Kurtosis	-3.9012346		P(T<=t) one-tail	0.045860557
	Skewness	-1.1293381		Skewness	-0.3703704		t Critical one-tail	2.353363016
	Range	3		Range	3		P(T<=t) two-tail	0.091721113
	Minimum	10		Minimum	9		t Critical two-tail	3.182449291
	Maximum	13		Maximum	12
	Sum	47		Sum	43
	Count	4		Count	4
		sigma	0.97894501
		diff	1
		p-value	0.32760715