Question

Group Statistics
	gender	N	Mean	Std. Deviation	Std. Error Mean
salary	male	47	32442.23	3117.026	454.665
	female	47	33920.57	3824.284	557.829

Independent Samples Test
		Levene's Test for Equality of Variances		t-test for Equality of Means
		F	Sig.	t	df	Sig. (2-tailed)	Mean Difference	Std. Error Difference	95% Confidence Interval of the Difference
									Lower	Upper
salary	Equal variances assumed	.964	.329	-2.054	92	.043	-1478.340	719.648	-2907.624	-49.057
	Equal variances not assumed			-2.054	88.404	.043	-1478.340	719.648	-2908.399	-48.282

Here we have two groups of participants (e.g., male vs female) and the outcome variable is salary. The question here is whether the data suggest that these two groups differ in terms of the amount of salary? Consider the SPSS output here and provide a brief write-up of your interpretation of these data in the space below.

Answer 1

we have given the SPSS output

Group Statistics
	gender	N	Mean	Std. Deviation	Std. Error Mean
salary	male	47	32442.23	3117.026	454.665
female	47	33920.57	3824.284	557.829

Independent Samples Test
	Levene's Test for Equality of Variances	t-test for Equality of Means
F	Sig.	t	df	Sig. (2-tailed)	Mean Difference	Std. Error Difference	95% Confidence Interval of the Difference
Lower	Upper
salary	Equal variances assumed	.964	.329	-2.054	92	.043	-1478.340	719.648	-2907.624	-49.057
Equal variances not assumed			-2.054	88.404	.043	-1478.340	719.648	-2908.399	-48.282

let us consider the null and alternative hypothesis is

Ho:u(group 1) = u(group 2)

Ha:u(group 1) u(group 2)

the value of test stat t = -2.054 and p value is 0.043 since p value is less than 0.05 so we rejct Ho and conclude that these two groups differ in terms of the amount of salary