Testing Differences: r, Percent, Mean

Creates statistical significance (probabilities) for comparing differences in r (correlation coefficients), percentages, or means in two independent samples.

Correlation coefficients

Element Name Description
Compare correlations Evaluate the statistical significance for the differences between two correlation coefficients from two independent samples.
Tests criterion Specifies whether to compute the probability (statistical significance) for a one-sided test or two-sided test. For a one-sided test, the hypothesis is r1 > r2.
Correlation r1 Specifies the Pearson r (correlation coefficient) for the first sample.
Correlation r2 Specifies the Pearson r (correlation coefficient) for the second sample.
Sample size N1 Specifies the sample size (number of cases) for the first sample.
Sample size N2 Specifies the sample size (number of cases) for the second sample.

Two means

Element Name Description
Two means Evaluate the statistical significance for the differences between two means from two independent samples, or the difference of an observed mean from a population mean.
Compare against population Select this option to compare a mean (the first mean) against a population mean (the second mean); if this option is not selected, a standard two-sample t-test for independent samples will be computed.
Tests criterion Specifies whether to compute the probability (statistical significance) for a one-sided test or two-sided test. For a one-sided test, the hypothesis is M1 > M2.
Mean 1 Specifies the mean for the first sample.
Mean 2 Specifies the mean for the second sample (or population mean).
Standard deviation 1 Specifies the standard deviation for the first sample.
Standard deviation 2 Specifies the standard deviation for the second sample (this option is ignored if the second mean is a population mean).
Sample size N1 Specifies the sample size (number of cases) for the first sample.
Sample size N2 Specifies the sample size (number of cases) for the second sample.

Proportions

Element Name Description
Two proportions Evaluate the statistical significance for the differences between two proportions from two independent samples.
Tests criterion Specifies whether to compute the probability (statistical significance) for a one-sided test or two-sided test. For a one-sided test, the hypothesis is Pr1 > Pr2.
Proportion 1 Specifies the proportion for the first sample.
Proportion 2 Specifies the proportion for the second sample.
Sample size N1 Specifies the sample size (number of cases) for the first sample.
Sample size N2 Specifies the sample size (number of cases) for the second sample.