17.3.8.1 The Two-Sample Proportion Test Dialog Box

Supporting Information

To open the Two-Sample Proportion Test dialog box:

1. With the worksheet active, click Statistics: Hypothesis Testing: Two-Sample Proportion Test...

Results Log Output

Results Log Output Select to output results to the Results Log.

Input Data Form

Summarized Perform the test using summary statistics that you enter into the dialog box manually. Number of Success of Sample1 The number of observed "successes" in sample 1 Sample Size of Sample1 The total number of observations in sample 1 Number of Success of Sample2 The number of observed "successes" in sample 2 Sample Size of Sample2 The total number of observations in sample 2 Perform the test using two datasets composed of "success" or "failure" values. The datasets must contain no more than two distinct values. Input Data Form Specify the data ranges of sample 1 and sample 2 1st Data Range 2nd Data Range Success The dataset value that denotes success. Perform the test on input data consisting of one sample data column and one "grouping" column. The sample data column should be in the form of "success" or "failure" and must contain no more than two distinct values. The grouping column should contain information on the two populations of interest, indexed (by row number) to the sample data column. Input Data Form Specify one sample data column and one grouping column. Group Range Data Range Success The dataset value that denotes success.

Proportion Test

Test Difference The hypothetical proportion difference to be tested (generally "0"). The null hypothesis to be tested. Options: Proportion 1 - Proportion2<> Test Difference Perform a two-tailed test of the hypothesis that Proportion1 - Proportion2 = Test Difference. Proportion 1 - Proportion2 > Test Difference Perform an upper-tailed test of the hypothesis that Proportion1 - Proportion2 is greater than Test Difference. Proportion 1 - Proportion2 < Test Difference Perform a lower-tailed test of the hypothesis that Proportion1 - Proportion2 is less than Test Difference. The significance level of the test. Compute confidence intervals for proportion differences. Specifies the confidence levels for which the confidence intervals will be computed. This option is only available when Confidence Interval(s) is selected.

Test Methods

Actual Power If checked, actual power will be computed Specify the significance level ($\alpha$) for power computation. This option is only available when either Actual Power or Hypothetical Power is checked. If checked, hypothetical power will be computed. Specifies the hypothetical sample size(s), for which power will be computed. This option is only available when Hypothetical Power is checked.