Pitfalls of Data Analysis (or How to Avoid Lies and Damned Lies)

There seems to be a pervasive notion that "you can prove anything with statistics. " This is only true if you use them improperly. In this workshop we'll discuss things that people often overlook in their data analysis, and ways people sometimes "bend the rules " of statistics to support their viewpoint. We will also discuss ways you can make sure your own statistics are clear and accurate. I will include examples from medicine, education, and industry