Dot Plots

Student Summary

We often collect and analyze data because we are interested in learning what is “typical,” or what is common and can be expected in a group.

Sometimes it is easy to tell what a typical member of the group is. For example, we can say that a typical shape in this set is a large circle.

A set that consists of 17 shapes. There are 10 large circles, 1 medium circle, 3 small circles, 1 large square, and 2 small squares.

Just looking at the members of a group doesn’t always tell us what is typical, however. For example, if we are interested in the side length typical of squares in this set, it isn’t easy to do so just by studying the set visually.

A set that consists of 18 squares of varying side lengths.

In a situation like this, it is helpful to gather the side lengths of the squares in the set and look at their distribution, as shown in this dot plot.

A dot plot for "side lengths in centimeters".
A dot plot for "side lengths in centimeters". The numbers 1 through 8 are indicated. The data are as follows: 2 centimeters, 4 dots. 3 centimeters, 5 dots. 4 centimeters, 3 dots. 5 centimeters, 3 dots. 6 centimeters, 2 dots. 7 centimeters, 1 dot.

We can see that squares with 3 centimeter sides are the most common and many others are about the same size. That means we could say that side lengths of about 3 centimeters are typical of squares in this set.

Visual / Anchor Chart

Standards

Building On
6.SP.1

Recognize that a statistical question is one that anticipates variability in the data related to the question and accounts for it in the answers. Understand that statistics can be used to gain information about a population by examining a sample of the population.

Addressing
6.SP.4

Display quantitative data in plots on a number line, including dot plots, and histograms.

6.SP.B

No additional information available.

6.SP.2

Understand that a set of quantitative data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.

Building Toward
6.SP.5.c

Summarize quantitative data sets in relation to their context.

6.SP.3

Recognize that a measure of center for a quantitative data set summarizes all of its values with a single number while a measure of variation describes how its values vary with a single number.