Standard Deviations	Sample Sizes	Assume Equal Standard Deviations (Pooled)	Do Not Assume Equal Standard Deviations (Not Pooled)
Study					T test statistic	Degrees of Freedom	P-value	T test statistic	Degrees of Freedom	P-value
1	12	10	20	20	1.431	38	0.1605	1.431	36.80	0.1607
2	12	10	50	50	2.263	98	0.0258	2.263	94.91	0.0259
3	6	5	20	20	2.863	38	0.0068	2.863	36.80	0.0069
4	6	6	32	8	2.108	38	0.0417	2.108	10.79	0.0593
5	8	6	20	20	2.236	38	0.0313	2.236	35.24	0.0318
6	8	6	10	30	2.097	38	0.0427	1.814	12.55	0.0937
7	8	6	30	10	1.808	38	0.0785	2.088	20.58	0.0494
8	12	2	20	20	1.838	38	0.0739	1.838	20.05	0.0809
9	12	2	10	30	2.246	38	0.0306	1.312	9.17	0.2216
10	12	2	30	10	1.301	38	0.2012	2.193	33.29	0.0354

What do we learn from this? Answer the following questions.

Compare Study 2 and Study 1: Based on your results, how (in general) does increasing sample sizes (holding the means and standard deviations constant) impact our three metrics (degrees of freedom, the test statistics and the p-values)?