Overview of Computing Statistics for Numeric Variables

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Computing Statistics for Numeric Variables

Lesson Overview

Introduction

Descriptive statistics such as mean, sum, minimum, and maximum can answer basic questions about numeric data. The MEANS procedure provides these and other data summarization tools, as well as helpful options for controlling your output. This lesson will show you how to use PROC MEANS to analyze your data in several ways.

Variable N Mean Std Dev Minimum Maximum

Age
Height
Weight
Pulse
FastGluc
PostGluc 20
20
20
20
20
20 47
67
175
75
299
355 13
4
36
8
126
126 15
61
102
65
152
206 63
75
240
100
568
625

Variable	N	Mean	Std Dev	Minimum	Maximum
Age Height Weight Pulse FastGluc PostGluc	20 20 20 20 20 20	47 67 175 75 299 355	13 4 36 8 126 126	15 61 102 65 152 206	63 75 240 100 568 625

This lesson contains 19 pages and takes approximately 30-45 minutes to complete.

Objectives
After completing this lesson, you will be able to

determine the n-count, mean, standard deviation, minimum, and maximum of numeric variables
generate a wide range of descriptive, quantile, and hypothesis-testing statistics
control the number of decimal places used in PROC MEANS output
use the VAR statement to analyze specific variables
use CLASS and BY statements to categorize data.

Prerequisites
Before taking this lesson, you should have completed the following lessons:
Introduction to SAS Programming

Working in the SAS Environment
Basic Concepts
Editing and Debugging SAS Programs
Setting Up Your SAS Session