NCSS PASS 2023 v23.0.2
File size: 299.3 MB
PASS software provides sample size tools for over 1100 statistical test and confidence interval scenarios - more than double the capability of any other sample size software. Each tool has been carefully validated with published articles and/or texts.
Get to know PASS by downloading a free trial, viewing the video to the right, or exploring this website.
PASS comes complete with integrated documentation and PhD statistician support.
PASS has been fine-tuned for over 25 years, and is now the leading sample size software choice for clinical trial, pharmaceutical, and other medical research. It has also become a mainstay in all other fields where sample size calculation or evaluation is needed.
Obtaining A Sample Size In PASS
In PASS, you can estimate the sample size for a statistical test or confidence interval in a few short steps. If you need guidance during any of the steps, PASS has excellent documentation, there are free training videos, and you can contact our team of PhD statisticians.
Choosing A Procedure
Finding the sample size procedure is easy using the drop-down menu, the procedure search, or the category tree. Watch a short video to learn how to select your desired procedure in PASS.
Enter The Values
The sample size procedure tools are easy to use and have built-in help messages for every option.
Enlarge the infographic to see the descriptions of the ways that PASS helps you to enter the proper values in a sample size procedure tool. You can also watch this video to see an example of using a procedure window in PASS.
Ready to Use Output
When a PASS procedure is run, the sample size results and corresponding plots are displayed in the output window. The sample size or power curves can be clicked to be shown in a separate window for viewing or saving.
Navigation of the output is easy with the output navigation tree. The format of the output makes it easy to be viewed, copied and pasted, or saved. Multiple output runs can be sent to the output gallery for saving or for comparing sample size analyses.
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