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

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

Name assumptions.

How you know the assumptions were not violated.

State your hypothesis in words and symbols

Citical value.

Summarize data into appropriate test statistic

Evaluate and interpret the null hypothesis.

Compute the 95% Confidence Interval , what were the mean difference, the standard error and critical values Interpret your confidence interval.

If you Changed your Critical Value to = 0.01 What would your new critical value be. Would this change your decision about your null hypothesis.

Compute the Effect Size and Power

Output(s) from G*Power (or SamplePower).

Discuss your findings and interpret Power.

Is your Power value accurate? Why or why not.