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List of Sample Size Procedures – Over 965 Scenarios
This page contains a list of the tests and confidence intervals for which sample size and power can be calculated by PASS. For a more in-depth look at the features of PASS, please download the free trial. Click to see some additional details about one or two means, multiple means, correlation, normality tests, variances, one proportion, two proportions, chi-square and other proportions tests, survival, or regression 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.
Proportions
Confidence Intervals for One Proportion
Confidence Intervals for One Proportion from a Finite Population
Confidence Intervals for One Proportion in a Stratified Design
Confidence Intervals for One Proportion in a Cluster-Randomized Design
Confidence Intervals for One Proportion in a Stratified Cluster-Randomized Design
Confidence Intervals for the Difference Between Two Proportions
Confidence Intervals for the Ratio of Two Proportions
Confidence Intervals for the Odds Ratio of Two Proportions
Confidence Intervals for Kappa
Quality Control
Confidence Intervals for
Confidence Intervals for Cpk
在PASS中获取样本大小
在PASS中,您可以在几个短的步骤中估计一个统计测试或置信区间的样本大小。如果您在任何步骤中都需要,那么可以通过PASS完整的文档,您也可以联系我们的博士统计学家团队获得帮助。
选择一个进程
使用下拉菜单、过程搜索或类别树,查找样本大小过程是很*的。
输入参数值
样本大小工具使用简单,并且为每个选项都有内置的帮助消息。
放大这张信息图,看看通过哪些方法可以帮助您在样本大小的过程工具中输入适当的值。
Analysis Using NCSS
With a few easy steps you can obtain meaningful numeric results and clean, clear graphics.
Use the Data window to import or enter your data. Open an NCSS procedure for your desired analysis. Select the columns and run the analysis to obtain accurate and easy-to-read numeric output and graphics.
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