SEX Case Processing Summary

1. First, use the Explore procedure to view the distributions of these two variables by gender. Are they similar or different? Do you see any problems with doing a t-test?
The significance values obtained by the explore procedure are less than 1. The value is not normally distributed because the value is less than .1. The results across the two variables are similar so a T-test can be done. The mean is close for both of the socioeconomic indexes and is located in the descriptive box.
Case Processing Summary RESPONDENTS SEX Cases Valid Missing Total N Percent N Percent N Percent
RESPONDENT SOCIOECONOMIC INDEX MALE 598 64.4% 331 35.6% 929 100.0% FEMALE 817 74.7% 277 25.3% 1094 100.0%
R'S AGE WHEN 1ST CHILD BORN MALE 598 64.4% 331 35.6% 929 100.0% FEMALE 817 74.7% 277 25.3% 1094 100.0%

Descriptives RESPONDENTS SEX Statistic Std. Error
RESPONDENT SOCIOECONOMIC INDEX MALE Mean 49.039 .7894 95% Confidence Interval for Mean
Deviation 5.411 Minimum 14 Maximum 46 Range 32 Interquartile Range 7 Skewness .819 .100 Kurtosis .735 .200 FEMALE Mean 23.01 .181 95% Confidence Interval for Mean Lower Bound 22.66 Upper Bound 23.37 5% Trimmed Mean 22.72 Median 22.00 Variance 26.644 Std. Deviation 5.162 Minimum 13 Maximum 44 Range 31 Interquartile Range 7 Skewness .869 .086 Kurtosis .439 .171

Tests of Normality RESPONDENTS SEX Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig.
RESPONDENT SOCIOECONOMIC INDEX MALE .178 598 .000 .904 598 .000 FEMALE .209 817 .000 .909 817 .000
R'S AGE WHEN 1ST CHILD BORN MALE .095 598 .000 .957 598 .000 FEMALE .143 817 .000 .942 817 .000

2. Now do a t-test for each variable, by gender. Is the homogeneity of variance assumption met, or not? What do you conclude about mean differences by