Learn on PengiReveal Math, Course 1Module 10: Statistical Measures and Displays

10-2 Dot Plots and Histograms

In this Grade 6 lesson from Reveal Math Course 1, students learn how to construct and interpret dot plots and histograms to display and analyze numerical data sets. Students practice organizing raw data into dot plots by plotting values above a number line, and into histograms by grouping data into equal consecutive intervals using a frequency table. The lesson also addresses when each representation is most appropriate for visualizing data distributions.

Section 1

Dot Plots: Construction and Analysis

Property

A dot plot displays the frequency of quantitative data along a number line. It is ideal for smaller data sets.

To construct a dot plot, order the data from least to greatest and place exactly one dot directly above its value on the number line. When values repeat, the dots must be stacked perfectly vertically.
Dot plots allow you to easily identify the shape of the data, including:

  • Peaks: The value(s) with the tallest stack of dots (the mode).
  • Clusters: Groups of data points gathered closely together.
  • Gaps: Empty intervals on the number line.
  • Outliers: Individual values that stand far away from the rest of the data.

Examples

  • Constructing and Stacking: Data set is {7, 3, 5, 3, 7, 5, 3}. Order it first: 3, 3, 3, 5, 5, 7, 7. Place three dots above the 3, two dots above the 5, and two dots above the 7.
  • Stacking Error: A student plots the value 4 twice but places the second dot slightly to the right instead of directly above the first. This makes it look like a new data value near 4.5 exists. Dots must be stacked straight up.
  • Analyzing Features: Looking at a dot plot of "pets owned," you see a peak at 1, a cluster from 0 to 2, a gap at 4, and an outlier at 7.

Section 2

Grouping Data with Frequency Tables

Property

When a data set is too large or spread out for a dot plot, we organize it into a frequency table using equal-sized, non-overlapping intervals (also called bins or classes).

  1. Find the range of the data.
  2. Create equal intervals (e.g., 0-9, 10-19, 20-29).
  3. Use tally marks to count how many data values fall into each interval to find the frequency.

Examples

Book overview

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Module 10: Statistical Measures and Displays

  1. Lesson 1

    10-1 Statistical Questions

  2. Lesson 2Current

    10-2 Dot Plots and Histograms

  3. Lesson 3

    10-3 Measures of Center

  4. Lesson 4

    10-4 Interquartile Range and Box Plots

  5. Lesson 5

    10-5 Mean Absolute Deviation

  6. Lesson 6

    10-6 Outliers

  7. Lesson 7

    10-7 Interpret Graphical Displays

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

Dot Plots: Construction and Analysis

Property

A dot plot displays the frequency of quantitative data along a number line. It is ideal for smaller data sets.

To construct a dot plot, order the data from least to greatest and place exactly one dot directly above its value on the number line. When values repeat, the dots must be stacked perfectly vertically.
Dot plots allow you to easily identify the shape of the data, including:

  • Peaks: The value(s) with the tallest stack of dots (the mode).
  • Clusters: Groups of data points gathered closely together.
  • Gaps: Empty intervals on the number line.
  • Outliers: Individual values that stand far away from the rest of the data.

Examples

  • Constructing and Stacking: Data set is {7, 3, 5, 3, 7, 5, 3}. Order it first: 3, 3, 3, 5, 5, 7, 7. Place three dots above the 3, two dots above the 5, and two dots above the 7.
  • Stacking Error: A student plots the value 4 twice but places the second dot slightly to the right instead of directly above the first. This makes it look like a new data value near 4.5 exists. Dots must be stacked straight up.
  • Analyzing Features: Looking at a dot plot of "pets owned," you see a peak at 1, a cluster from 0 to 2, a gap at 4, and an outlier at 7.

Section 2

Grouping Data with Frequency Tables

Property

When a data set is too large or spread out for a dot plot, we organize it into a frequency table using equal-sized, non-overlapping intervals (also called bins or classes).

  1. Find the range of the data.
  2. Create equal intervals (e.g., 0-9, 10-19, 20-29).
  3. Use tally marks to count how many data values fall into each interval to find the frequency.

Examples

Book overview

Jump across lessons in the current chapter without opening the full course modal.

Continue this chapter

Module 10: Statistical Measures and Displays

  1. Lesson 1

    10-1 Statistical Questions

  2. Lesson 2Current

    10-2 Dot Plots and Histograms

  3. Lesson 3

    10-3 Measures of Center

  4. Lesson 4

    10-4 Interquartile Range and Box Plots

  5. Lesson 5

    10-5 Mean Absolute Deviation

  6. Lesson 6

    10-6 Outliers

  7. Lesson 7

    10-7 Interpret Graphical Displays