Chapter 18: Hindrances to Data Analysis

Errors using inadequate data are much less than those using no data at all.

Charles Babbage

Introduction

Hindrance #1: Outliers

Causes

Detection

Hindrance #2: “Unclean” Data

Definition and Causes

Cleanup Operations

Recoding with Grouping

Hindrance #3: Sample Size and Power

Introduction

This basic text has explored a multifaceted tool of extreme importance for budding biologists to master. However, before we conclude our overview, there are a few issues to which we should turn our final attention. At the end of the day, or the end of the experiment, there are at least three hindrances that can confound your analysis if not carefully addressed in the whole process. If you are still with me and have not thrown ...

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