proc-ttest-mean-comparisons

Name: proc-ttest-mean-comparisons
Availability: InStock
Author: mrl2013

Compare group means with SAS PROC TTEST and normality checks.

Updated Jun 11, 2026

Search Tags:#data science #statistical analysis #t-test #SAS #mean comparison

Ready to run

npx skills add https://github.com/mrl2013/p8483-and-p8400-assistant --skill proc-ttest-mean-comparisons

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: proc-ttest-mean-comparisons
Source: https://github.com/mrl2013/p8483-and-p8400-assistant/tree/main/.github/skills/proc-ttest-mean-comparisons
Command: npx skills add https://github.com/mrl2013/p8483-and-p8400-assistant --skill proc-ttest-mean-comparisons

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires SAS PROC TTEST, and includes scripts (resource) components.

What problem does it solve?

This Skill solves the problem of comparing means of continuous variables between two groups, against a known value, or across paired measurements, especially when the variable is approximately normally distributed.

Core Features & Use Cases

Mean Comparison: Conduct one-sample, two-sample, and paired t-tests.
Normal Distribution Check: Assesses the normality of the continuous variable before conducting t-tests.
Confidence Intervals & P-values: Provides confidence intervals and p-values for mean comparisons.
Use Case: For a study comparing the mean systolic blood pressure of two groups, this Skill can be used to determine if there is a statistically significant difference.

Quick Start

Run the t-test to compare the mean systolic blood pressure between the two treatment groups using the 'ttest-systolic_bp' script.

Frequently Asked Questions about proc-ttest-mean-comparisons

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I perform a t-test to compare means in SAS?▼

To perform a t-test to compare means in SAS, you use PROC TTEST to evaluate continuous variables between groups, against known values, or across paired measurements, yielding confidence intervals and p-values.

What types of t-tests can I conduct for mean comparison?▼

You can conduct one-sample, two-sample, and paired t-tests for mean comparison. These tests evaluate continuous variables to determine if there is a statistically significant difference between groups or against a known value.

Does PROC TTEST require my data to follow a normal distribution?▼

Yes, PROC TTEST requires a normal distribution assumption for the continuous variable being analyzed. The Skill assesses the normality of your data before proceeding with the t-test calculations.

Can I use SAS to check data normality before running a t-test?▼

Yes, you can check data normality before running a t-test. This Skill assesses the normality of continuous variables as a core feature to ensure the data meets the distribution assumptions required by PROC TTEST.

What statistical outputs do I get when comparing means between two groups?▼

When comparing means between two groups, you get confidence intervals and p-values. These statistical outputs help determine if the mean difference in continuous variables is statistically significant.

Are there limitations to using t-tests for continuous variable analysis?▼

A key limitation is the normal distribution requirement; t-tests for continuous variable analysis are inappropriate for non-normal data. Additionally, these tests are designed for comparing means between two groups or against a known value.