If you changed your = 0.01, what would your new critical value be? Would this change your decision regarding your null hypothesis?

Whether you have found a significant difference or not, compute Power (at = 0.01).

Provide your output from G*Power!

Discuss your findings and interpret Power as it relates Is the Power value consistent with how you evaluated the null hypothesis? Why or why not?

What are your conclusions? That is, briefly summarize your project and explain why you believe the results turned out the way they did. Is this what you expected to find? Make sure your conclusions address all comments you made in your introduction.

Further, in your opinion, do you think your results would remain the same in the larger population...why or why not?

Group Statistics
	Membership Status of Subjects	N	Mean	Std. Deviation	Std. Error Mean
Grade point average	Sorority member	9	3.5833	.43986	.14662
non-member	9	3.1700	.69744	.23248
Independent Samples Effect Sizes
	Standardizer	Point Estimate	95% Confidence Interval
Lower	Upper
Grade point average	Cohen's d	.58305	.709	-.257	1.654
Hedges' correction	.61229	.675	-.245	1.575
Glass's delta	.69744	.593	-.391	1.543
a. The denominator used in estimating the effect sizes. Cohen's d uses the pooled standard deviation. Hedges' correction uses the pooled standard deviation, plus a correction factor. Glass's delta uses the sample standard deviation of the control group.
Independent Samples Test
	Levene's Test for Equality of Variances	t-test for Equality of Means
F	Sig.	t	df	Significance	Mean Difference	Std. Error Difference	95% Confidence Interval of the Difference
One-Sided p	Two-Sided p	Lower	Upper
Grade point average	Equal variances assumed	8.246	.011	1.504	16	.076	.152	.41333	.27485	-.16933	.99600
Equal variances not assumed			1.504	13.495	.078	.156	.41333	.27485	-.17825	1.00491