Abstract
Data analysis begins with data clean up, calculation of descriptive statistics and the examination of variable distributions. Before more rigorous statistical analysis begins, many statisticians perform basic inferential statistical tests such as chi-square and t-tests to assess unadjusted associations. These tests help to guide the direction of the more rigorous analysis. How to perform chi-square and t-tests will be presented. We will examine how to interpret the output, where to look for the association or difference based on the hypothesis being tested, and propose next steps for further analysis using example data.
| Original language | English (US) |
|---|---|
| Journal | SAS Global Forum |
| State | Published - 2013 |