# 17.3.7.1 The One-Sample Proportion Test Dialog Box

## Supporting Information

To open the One-Sample Proportion Test Dialog:

1. With a worksheet active, click Statistics: Hypothesis Testing: One-Sample Proportion Test...

## Results Log Output

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

## Input Data Form

Input Data Form Summarized Perform the test using summary statistics that you enter into the dialog box manually. Raw Perform the test using a dataset composed of "success" or "failure" values. The dataset must contain no more than two distinct values.

## Input Data

Input Data (Summarized) Number of Success The observed number of successes. Sample Size The total number of observations. Sample Define a sample data range. Success The dataset value that denotes success.

## Proportion Test

Test Proportion The hypothetical proportion to be tested. The null hypothesis to be tested (Sample Proportion = Test Proportion). Options: Proportion <> Test Proportion A two-tailed proportion test that seeks to answer whether the sampled proportion = Test Proportion. Proportion > Test Proportion An upper-tailed proportion test that seeks to answer whether the sampled proportion is larger than the Test Proportion. Proportion < Test Proportion A lower-tailed proportion test that seeks to answer whether the sampled proportion is less than the hypothetical proportion . The significance level of the test. Compute confidence interval for the true (population) proportion. 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

Origin uses two methods for computing p values and confidence intervals for one-sample proportion tests (for documentation of Normal Approximation and Binomial test, see the algorithms page):

Normal Approximation The Normal Approximation is always calculated. Generally gives a satisfactory result when successes is ≥ 10 and when sample size - successes is ≥ 10. The quality of the approximation tends to improve as sample size increases. Use Binomial Test.

## Power Analysis

Actual Power Compute the power of the test (the probability of rejecting the null hypothesis when it is false). Only available when Hypothetical Power and/or Actual Power are checked. This is the significance level (alpha value) for power computation. Compute the power of the test at various sample sizes. Only available when Hypothetical Power is checked. Specify hypothetical sample size(s) for power computation.

## Output Results

For help with the range controls, see: Output Results

Output Results Specify the worksheet for output of test results