Descriptive versus Inferential Statistical Analysis
To understand the difference between descriptive and inferential statistics, you must first understand the difference between populations and samples. A population is the entire collection of a carefully defined set of people, objects, or events. For example, if the insurance company in question employed 10,000 insurance agents in the European Union, then those 10,000 agents would constitute the population of agents hired by that company. A sample, on the other hand, is a subset of the people, objects, or events selected from a population. For example, the 100 agents used in the experiment described earlier constitute a sample.
Descriptive Analyses
A parameter is a descriptive characteristic ...
Get A Step-by-Step Approach to Using SAS® for Univariate & Multivariate Statistics, Second Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
