Chapter 17

Ten Common Errors That Arise in Statistical Analysis

IN THIS CHAPTER

Bullet Understanding logical fallacies that may arise in statistical analysis

Bullet Avoiding drawing incorrect conclusions from statistical results

Bullet Understanding the types of errors that can result in regression analysis

Bullet Understanding forecasting errors

Bullet Realizing how information may be presented incorrectly

In the For Dummies Part of Tens fashion, this chapter discusses ten ways people may draw incorrect conclusions from statistical tests. These erroneous conclusions can result from several sources, including incorrect assumptions, misunderstanding the meaning of a statistical test, use of inappropriate data, and measurement error.

Any one of these mistakes can lead to erroneous conclusions being drawn, no matter how sophisticated the techniques being used. Part of the art of statistics is knowing which techniques to use under different circumstances and how to correctly interpret them. The following sections discuss ...

Get Business Statistics For Dummies, 2nd 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.