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proc-means-proc-univariate-continuous

Generate summary statistics and distribution analysis for continuous variables in SAS.

Updated Jun 11, 2026
Search Tags:#descriptive statistics#distribution analysis#SAS#normality test#PROC MEANS#PROC UNIVARIATE
One-click install
npx skills add https://github.com/mrl2013/p8483-and-p8400-assistant --skill proc-means-proc-univariate-continuous
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: proc-means-proc-univariate-continuous
Source: https://github.com/mrl2013/p8483-and-p8400-assistant/tree/main/.github/skills/proc-means-proc-univariate-continuous
Command: npx skills add https://github.com/mrl2013/p8483-and-p8400-assistant --skill proc-means-proc-univariate-continuous

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for descriptive statistics and distribution analysis of continuous variables in SAS, ensuring data quality and normality checks before applying parametric tests.

Core Features & Use Cases

  • Summary Statistics: Generate statistics like mean, median, standard deviation, minimum, and maximum.
  • Distribution Analysis: Assess the shape and normality of distributions with histograms, Q-Q plots, and normality tests.
  • Stratified Summaries: Obtain summary statistics for continuous variables stratified by categorical variables.
  • Use Case: Before running a t-test or linear regression, use this Skill to check if the data follows a normal distribution.

Quick Start

Run PROC MEANS and PROC UNIVARIATE on the dataset 'mydata' for the variable 'systolic_bp'.

Frequently Asked Questions about proc-means-proc-univariate-continuous

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

FAQPage Schema
How do I check normality and get descriptive statistics in SAS before a t-test?▼

Check normality and get descriptive statistics in SAS using PROC UNIVARIATE for distribution tests and PROC MEANS for summary stats to validate data before parametric tests.

How do I generate stratified summary statistics for continuous variables in SAS?▼

Generate stratified summary statistics for continuous variables in SAS by applying PROC MEANS with a CLASS statement to segment mean, median, and standard deviation by categorical variables.

What is the difference between PROC MEANS and PROC UNIVARIATE for distribution analysis?▼

PROC MEANS provides basic summary statistics, while PROC UNIVARIATE performs deeper distribution analysis, generating histograms, Q-Q plots, and formal normality tests for continuous variables.

Can I create histograms and Q-Q plots for continuous variables using SAS procedures?▼

Yes, you can create histograms and Q-Q plots for continuous variables using PROC UNIVARIATE, which assesses the shape of distributions and provides visual normality checks.

When should I run a normality test in SAS before applying parametric tests?▼

Run a normality test in SAS before applying parametric tests like t-tests or linear regression to ensure your continuous variables follow a normal distribution and validate statistical assumptions.

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