The Two-Sample Proportion Test Dialog Box

 

Contents

Results Log Output

If this check box is checked, the result will be output to Results log.

Input Data Form

Specify the form of the input data, summarized data or raw.

Summarized Perform the test on summarized statistics you enter in the dialog box.
Number of Success of Sample1
The number of observed success data in sample 1
Sample Size of Sample1
The total number of observations in sample 1
Number of Success of Sample2
The number of observed success data in sample 2
Sample Size of Sample2
The total number of observations in sample 2
Raw

Perform the test on the raw data in the form of "failure" and " success"

Input Data Form
Specify the data range of sample 1 and sample 2
1st Data Range
2nd Data Range
Success
To specify which value to be success
Index

Perform the test on the input data contains one sample column and one grouping column. The data column is in the form of "failure" and " success"

Input Data Form
Specify one sample column and one grouping column
Group Range
Data Range
Success
To specify which value to be success

Proportion Test

Use proportion to determine whether or not two proportions are different

Test Difference The hypothetical proportion difference to be tested.
Null Hypothesis The null hypothesis to be tested
Alternative Hypothesis Alternative Hypothesis

Options:

Proportion 1 - Proportion2<> Test Difference
If chosen, two-tailed proportion test will be performed. That's to say, the procedure will test if the difference of two proportion is equal to the specified value
Proportion 1 - Proportion2 > Test Difference
If chosen, upper-tailed proportion test will be performed. That's to say, the procedure will test if the difference of two proportion is larger than the specified value
Proportion 1 - Proportion2 < Test Difference
If chosen, lower-tailed proportion will be performed. That's to say, the procedure will test if the difference of two proportion is smaller than the specified value
Significance Level Specify the significance level of the test.
Confidence Interval(s) This option determines if confidence intervals for proportion difference should be computed for given confidence levels.
Confidence Level(s) in % Specifies the confidence levels for which the confidence intervals will be computed. This option is only available when Confidence Interval(s) is chosen.

Test Methods

To learn more about test methods, see the algorithms page.

Normal Approximation Compute the p value and confidence interval in result with normal approximation normal distribution
Use pooled p for test Specify to use a pooled estimate of p for the test when Test Difference is 0
Fisher's Exact Test Compute the p value and confidence interval with the Fisher's exact test, which is based on the Binomial Test .

Power Analysis

Power Analysis check box: If checked, power will be computed for the porportion test.

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

Outputs

Customize the output results of this analysis.

Output Results Specify the output worksheet for test results