Briefly interpret the results of the T-tests. Just a quick and easy summary

T-TEST GROUPS=gender('m' 'f')

/MISSING=ANALYSIS

/VARIABLES=ed income

/ES DISPLAY(TRUE)

/CRITERIA=CI(.95).

T-Test

Group Statistics
	Gender	N	Mean	Std. Deviation	Std. Error Mean
Level of education	Male	3221	2.57	1.200	.021
Female	3179	2.60	1.198	.021
Household income in thousands	Male	3221	70.1608	81.56216	1.43712
Female	3179	68.7798	75.73510	1.34323

Independent Samples Test
	Levene's Test for Equality of Variances	t-test for Equality of Means
F	Sig.	t
Level of education	Equal variances assumed	.062	.804	-1.039
Equal variances not assumed			-1.039
Household income in thousands	Equal variances assumed	1.865	.172	.702
Equal variances not assumed			.702

Independent Samples Test
	t-test for Equality of Means
df	Sig. (2-tailed)	Mean Difference
Level of education	Equal variances assumed	6398	.299	-.031
Equal variances not assumed	6397.158	.299	-.031
Household income in thousands	Equal variances assumed	6398	.483	1.38101
Equal variances not assumed	6374.362	.483	1.38101

Independent Samples Test
	t-test for Equality of Means
Std. Error Difference	95% Confidence Interval of the Difference
Lower	Upper
Level of education	Equal variances assumed	.030	-.090	.028
Equal variances not assumed	.030	-.090	.028
Household income in thousands	Equal variances assumed	1.96808	-2.47709	5.23912
Equal variances not assumed	1.96713	-2.47522	5.23725

Independent Samples Effect Sizes
	Standardizera	Point Estimate	95% Confidence Interval
Lower
Level of education	Cohen's d	1.199	-.026	-.075
Hedges' correction	1.199	-.026	-.075
Glass's delta	1.198	-.026	-.075
Household income in thousands	Cohen's d	78.72169	.018	-.031
Hedges' correction	78.73092	.018	-.031
Glass's delta	75.73510	.018	-.031

Independent Samples Effect Sizes
	95% Confidence Intervala
Upper
Level of education	Cohen's d	.023
Hedges' correction	.023
Glass's delta	.023
Household income in thousands	Cohen's d	.067
Hedges' correction	.067
Glass's delta	.067

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.

T-TEST GROUPS=gender('m' 'f')

/MISSING=ANALYSIS

/VARIABLES=age ed

/ES DISPLAY(TRUE)

/CRITERIA=CI(.95).

T-Test

Group Statistics
	Gender	N	Mean	Std. Deviation	Std. Error Mean
Age in years	Male	3221	42.37	12.602	.222
Female	3179	41.74	11.958	.212
Level of education	Male	3221	2.57	1.200	.021
Female	3179	2.60	1.198	.021

Independent Samples Test
	Levene's Test for Equality of Variances	t-test for Equality of Means
F	Sig.	t	df
Age in years	Equal variances assumed	12.947	.000	2.068	6398
Equal variances not assumed			2.069	6388.113
Level of education	Equal variances assumed	.062	.804	-1.039	6398
Equal variances not assumed			-1.039	6397.158

Independent Samples Test
	t-test for Equality of Means
Sig. (2-tailed)	Mean Difference	Std. Error Difference
Age in years	Equal variances assumed	.039	.635	.307
Equal variances not assumed	.039	.635	.307
Level of education	Equal variances assumed	.299	-.031	.030
Equal variances not assumed	.299	-.031	.030

Independent Samples Test
	t-test for Equality of Means
95% Confidence Interval of the Difference
Lower	Upper
Age in years	Equal variances assumed	.033	1.237
Equal variances not assumed	.033	1.237
Level of education	Equal variances assumed	-.090	.028
Equal variances not assumed	-.090	.028

Independent Samples Effect Sizes
	Standardizera	Point Estimate	95% Confidence Interval
Lower	Upper
Age in years	Cohen's d	12.286	.052	.003	.101
Hedges' correction	12.288	.052	.003	.101
Glass's delta	11.958	.053	.004	.102
Level of education	Cohen's d	1.199	-.026	-.075	.023
Hedges' correction	1.199	-.026	-.075	.023
Glass's delta	1.198	-.026	-.075	.023

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.

T-TEST GROUPS=gender('m' 'f')

/MISSING=ANALYSIS

/VARIABLES=marital age

/ES DISPLAY(TRUE)

/CRITERIA=CI(.95).

T-Test

Group Statistics
	Gender	N	Mean	Std. Deviation	Std. Error Mean
Marital status	Male	3221	.48	.499	.009
Female	3179	.52	.500	.009
Age in years	Male	3221	42.37	12.602	.222
Female	3179	41.74	11.958	.212

Independent Samples Test
	Levene's Test for Equality of Variances	t-test for Equality of Means
F	Sig.	t	df
Marital status	Equal variances assumed	1.297	.255	-3.424	6398
Equal variances not assumed			-3.424	6396.791
Age in years	Equal variances assumed	12.947	.000	2.068	6398
Equal variances not assumed			2.069	6388.113

Independent Samples Test
	t-test for Equality of Means
Sig. (2-tailed)	Mean Difference	Std. Error Difference
Marital status	Equal variances assumed	.001	-.043	.012
Equal variances not assumed	.001	-.043	.012
Age in years	Equal variances assumed	.039	.635	.307
Equal variances not assumed	.039	.635	.307

Independent Samples Test
	t-test for Equality of Means
95% Confidence Interval of the Difference
Lower	Upper
Marital status	Equal variances assumed	-.067	-.018
Equal variances not assumed	-.067	-.018
Age in years	Equal variances assumed	.033	1.237
Equal variances not assumed	.033	1.237

Independent Samples Effect Sizes
	Standardizera	Point Estimate	95% Confidence Interval
Lower	Upper
Marital status	Cohen's d	.500	-.086	-.135	-.037
Hedges' correction	.500	-.086	-.135	-.037
Glass's delta	.500	-.086	-.135	-.037
Age in years	Cohen's d	12.286	.052	.003	.101
Hedges' correction	12.288	.052	.003	.101
Glass's delta	11.958	.053	.004	.102

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.

T-TEST

/TESTVAL=0

/MISSING=ANALYSIS

/VARIABLES=marital age

/ES DISPLAY(TRUE)

/CRITERIA=CI(.95).

T-Test

One-Sample Statistics
	N	Mean	Std. Deviation	Std. Error Mean
Marital status	6400	.50	.500	.006
Age in years	6400	42.06	12.290	.154

One-Sample Test
	Test Value = 0
t	df	Sig. (2-tailed)	Mean Difference	95% Confidence Interval of the Difference
Lower	Upper
Marital status	79.396	6399	.000	.496	.48	.51
Age in years	273.785	6399	.000	42.059	41.76	42.36

One-Sample Effect Sizes
	Standardizera	Point Estimate	95% Confidence Interval
Lower	Upper
Marital status	Cohen's d	.500	.992	.962	1.022
Hedges' correction	.500	.992	.962	1.022
Age in years	Cohen's d	12.290	3.422	3.358	3.486
Hedges' correction	12.291	3.422	3.358	3.486

a. The denominator used in estimating the effect sizes.

Cohen's d uses the sample standard deviation.

Hedges' correction uses the sample standard deviation, plus a correction factor.