###### (Slide 1)

# Lecture 4: Displaying & Describing Data

#### Chapters 2 & 3, Whitlock and Schulter, 2nd Ed

## Key questions:

### What makes a good graph?

### What makes a bad graph?

### Types of graphs for types of different data

### Describing “central tendency”: mean & median

### Describing variation: variance & stdev

# Basics Rules of plotting data

### 1) Show the raw data if possible

### 2) Show distributional info if possible

### 3) ALWAYS Include error bars around means

### 4) ALWAYS Include error bars around means

### 5) Make patterns in the data easy to see

### 6) Represent magnitude honestly

### 7) Draw graphical elements clearly

### 8) Include a legend and label things clearly

# Plotting Rule #1: Show the raw data

###### For the next several slides we will consider this classic dataset made popular by R.A. Fisher