Question

The research hypothesis: The number of hours of TV watching tends to vary by gender (sex) ( the greater the number represents more hours). Alpha = .01

The date I used is GSS2010

1. Write out the null hypothesis and indicate whether this is a one-tailed or two-tailed test; 2. get the t critical value; 3. Make your decision whether we should reject the null hypothesis based on the test results (i.e. t_(obtained), and p value). 4 Write out your interpretation/conclusion in the context.

T-Test

Group Statistics
	RESPONDENTS SEX	N	Mean	Std. Deviation	Std. Error Mean
HOURS PER DAY WATCHING TV	MALE	433	3.03	2.767	.133
	FEMALE	611	2.98	2.607	.105

Independent Samples Test
		Levene's Test for Equality of Variances				t-test for Equality of Means
		t	df	Sig. (2-tailed)	Mean Difference		Std. Error Difference	95% Confidence Interval of the Difference
								Lower	Upper
HOURS PER DAY WATCHING TV	Equal variances assumed	.296	1042	.768	.050		.168	-.280	.379
	Equal variances not assumed	.293	895.407	.770	.050		.170	-.283	.383

Answer 1