Chapter 7

# Summarizing It All

IN THIS CHAPTER

Working with things great and small

Understanding symmetry, peaks, and plateaus

Getting descriptive

Serving up statistics on a tray

Measures of central tendency and variability are excellent ways of summarizing a set of scores. They aren’t the only ways, though. Central tendency and variability make up a subset of descriptive statistics. Some descriptive statistics are intuitive — like count, maximum, and minimum. Some are not — like skewness and kurtosis.

In this chapter, I discuss descriptive statistics, and I show you Excel’s capabilities for calculating them and visualizing them.

## Counting Out

The most fundamental descriptive statistic I can imagine is the number of scores in a set of scores. Excel offers five ways to determine that number. Yes, five ways. Count them.

### COUNT, COUNTA, COUNTBLANK, COUNTIF, COUNTIFS

Given an array of cells, `COUNT` gives you the amount of those cells that contain numerical data. Figure 7-1 shows that I’ve entered a group of scores, selected a cell to hold `COUNT`’s result, and opened the Function Arguments dialog box for `COUNT`.

Here are the steps:

1. Enter your data into the worksheet and select a cell for the result.

I entered data into columns C, D, and E to show off COUNT’s multi-argument capability. I selected ...

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