The questions you will answer using SPSS
To understand the relationships between the variables contained in this demographic dataset, use SPSS to obtain a matrix of Pearson correlation coefficients, including two-tailed tests of significance. SPSS will calculate the correlation among all the variables as they are currently coded in the set, except for gender.
Even though SPSS will calculate the correlation between most of the variables in the set, it does not make sense to consider the Pearson correlation and the other variables.
The Pearson correlation between income and [variable] is statistically significant (p < 0.05).
The estimated Pearson correlation between age (in years) and num_children indicates the p-value of the hypothesis test with the null hypothesis (Note: Use a significance level of 0.05).
The significance provided in the output "Sig" indicates that the null hypothesis is not rejected.
Using SPSS, click the Analyze tab, select Correlate from the dropdown menu, and then select "Bivariate".
You will see a dialog box with variables listed in the left-hand box. You can select all of the variables if you wish and click the arrow button to place them in the right-hand box labeled Variable(s).
Make sure the Pearson box is checked, as well as the Two-tailed test of significance. Having the Flag significant correlations box checked is helpful as well. Click OK.