# Lesson 6Histograms

Let's explore how histograms represent data sets.

### Learning Targets:

• I can recognize when a histogram is an appropriate graphical display of a data set.
• I can use a histogram to get information about the distribution of data and explain what it means in a real-world situation.

## 6.1Dog Show (Part 1)

Here is a dot plot showing the weights, in pounds, of 40 dogs at a dog show.

1. Write two statistical questions that can be answered using the dot plot.
2. What would you consider a typical weight for a dog at this dog show? Explain your reasoning.

## 6.2Dog Show (Part 2)

Here is a histogram that shows some dog weights in pounds.

Each bar includes the left-end value but not the right-end value. For example, the first bar includes dogs that weigh 60 pounds and 68 pounds but not 80 pounds.

1. Use the histogram to answer the following questions.

1. How many dogs weigh at least 100 pounds?

2. How many dogs weigh exactly 70 pounds?

3. How many dogs weigh at least 120 and less than 160 pounds?

4. How much does the heaviest dog at the show weigh?

5. What would you consider a typical weight for a dog at this dog show? Explain your reasoning.
2. Discuss with a partner:

• How are the histogram and the dot plot alike? How are they different?

## 6.3Population of States

Every ten years, the United States conducts a census, which is an effort to count the entire population. The dot plot shows the population data from the 2010 census for each of the fifty states and the District of Columbia (DC).

1. Here are some statistical questions about the population of the fifty states and DC. How difficult would it be to answer the questions using the dot plot?

In the middle column, rate each question with an E (easy to answer), H (hard to answer), or I (impossible to answer). Be prepared to explain your reasoning.

2. Here are the population data for all states and the District of Columbia from the 2010 census. Use the information to complete the table.

population (millions) frequency
0–5
5–10
10–15
15–20
20–25
25–30
30–35
35–40
3. Use the grid and the information in your table to create a histogram.

4. Return to the statistical questions at the beginning of the activity. Which ones are now easier to answer?

In the last column of the table, rate each question with an E (easy), H (hard), and I (impossible) based on how difficult it is to answer. Be prepared to explain your reasoning.

### Are you ready for more?

Think of two more statistical questions that can be answered using the data about populations of states. Then, decide whether each question can be answered using the dot plot, the histogram, or both.

## Lesson 6 Summary

In addition to using dot plots, we can also represent distributions of numerical data using histograms.

Here is a dot plot that shows the weights, in kilograms, of 30 dogs, followed by a histogram that shows the same distribution.

In a histogram, data values are placed in groups or “bins” of a certain size, and each group is represented with a bar. The height of the bar tells us the frequency for that group.

For example, the height of the tallest bar is 10, and the bar represents weights from 20 to less than 25 kilograms, so there are 10 dogs whose weights fall in that group. Similarly, there are 3 dogs that weigh anywhere from 25 to less than 30 kilograms.

Notice that the histogram and the dot plot have a similar shape. The dot plot has the advantage of showing all of the data values, but the histogram is easier to draw and to interpret when there are a lot of values or when the values are all different.

Here is a dot plot showing the weight distribution of 40 dogs. The weights were measured to the nearest 0.1 kilogram instead of the nearest kilogram.

Here is a histogram showing the same distribution.

In this case, it is difficult to make sense of the distribution from the dot plot because the dots are so close together and all in one line. The histogram of the same data set does a much better job showing the distribution of weights, even though we can’t see the individual data values.

## Glossary Terms

histogram

A histogram is a way to represent data on a number line. Data values are grouped by ranges. The height of the bar shows how many data values are in that group.

For example, this histogram shows there were 10 people who earned 2 or 3 tickets. We can't tell how many of them earned 2 tickets or how many earned 3

## Lesson 6 Practice Problems

1. Match histograms A through E to dot plots 1 through 5 so that each match represents the same data set.

2. Here is a histogram that summarizes the lengths, in feet, of a group of adult female sharks. Select all the statements that are true, according to the histogram.

1. A total of 9 sharks were measured.
2. A total of 50 sharks were measured.
3. The longest shark that was measured was 10 feet long.
4. Most of the sharks that were measured were over 16 feet long.
5. Two of the sharks that were measured were less than 14 feet long.
3. This table shows the times, in minutes, it took 40 sixth-grade students to run 1 mile.

time (minutes) frequency
4 to less than 6 1
6 to less than 8 5
8 to less than 10 13
10 to less than 12 12
12 to less than 14 7
14 to less than 16 2

Draw a histogram for the information in the table.

4. is one vertex of a square on a coordinate plane. Name three points that could be the other vertices.