Learn on PengiPengi Math (Grade 6)Chapter 7: Statistics and Probability

Lesson 5: Box Plots and the Five-Number Summary

In this Grade 6 Pengi Math lesson from Chapter 7: Statistics and Probability, students learn to identify the five-number summary — minimum, lower quartile, median, upper quartile, and maximum — and use it to construct and interpret box-and-whisker plots. Learners practice calculating the interquartile range, analyzing distribution shape, and comparing data sets by their center and spread. The lesson also covers how to use box plots to recognize skewness and identify outliers in a data set.

Section 1

Box Plots

Property

A box plot (or box-and-whisker plot) is a visual representation of the five-number summary, and tells us much more about the spread of the data.
A box is drawn from the 25th percentile to the 75th percentile, and 'whiskers' are drawn from the lowest data value to the 25th percentile and from the 75th percentile to the highest data value.

Examples

  • Given a five-number summary of {Min: 4, Q1: 7, Med: 10, Q3: 12, Max: 18}, a box plot would show a box extending from 7 to 12 with a line at 10, and whiskers reaching to 4 and 18.
  • A data set of quiz scores is {5, 6, 6, 7, 8, 9, 10}. The five-number summary is {Min:5, Q1:6, Med:7, Q3:9, Max:10}. Its box plot has a box from 6 to 9 and whiskers from 5 to 10.
  • If one box plot has a much longer box than another, it means the middle half of its data is more spread out. A longer right whisker means the top 25% of values are more spread out than the bottom 25%.

Explanation

A box plot turns the five-number summary into a picture. The 'box' contains the middle 50% of your data. The 'whiskers' stretch out to the highest and lowest values, showing the full range and how spread out everything is.

Section 2

Calculating the 5-Number Summary and IQR

Property

The 5 number summary consists of five values: Minimum, Q1, Q2 (median), Q3, and Maximum. To find them:

  1. Order the data from smallest to largest. The ends are the Minimum and Maximum.
  2. Find the median of the entire data set (Q2).
  3. Find the median of the lower half of the data (Q1).
  4. Find the median of the upper half of the data (Q3).

The interquartile range (IQR) is the distance from Q1 to Q3, representing the middle 50% of the data. IQR = Q3 - Q1.

Examples

  • For the data {2, 5, 6, 9, 11, 14, 17}, the 5 number summary is: Min=2, Q1=5, Q2=9, Q3=14, Max=17. The IQR is 145=914 - 5 = 9.
  • For the data {10, 20, 25, 35, 45, 50}, the median (Q2) is 30. The lower half is {10, 20, 25}, so Q1=20. The upper half is {35, 45, 50}, so Q3=45. The IQR is 4520=2545 - 20 = 25.
  • Given a 5 number summary of Min=5, Q1=12, Q2=18, Q3=22, Max=30, the range is 305=2530-5=25 and the interquartile range (IQR) is 2212=1022 - 12 = 10.

Explanation

The 5 number summary provides a quick snapshot of your data's distribution. The IQR is a powerful measure of spread because it focuses on the middle half of the data, which means it isn't affected by unusually high or low outliers.

Book overview

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Chapter 7: Statistics and Probability

  1. Lesson 1

    Lesson 1: What Is a Statistical Question?

  2. Lesson 2

    Lesson 2: Understanding Measures of Center

  3. Lesson 3

    Lesson 3: Outliers and Their Impact on Data

  4. Lesson 4

    Lesson 4: Understanding Variability in Data

  5. Lesson 5Current

    Lesson 5: Box Plots and the Five-Number Summary

  6. Lesson 6

    Lesson 6: Visualizing Data with Dot Plots and Histograms

  7. Lesson 7

    Lesson 7: Analyzing Data Distributions with Dot Plots and Histograms

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

Box Plots

Property

A box plot (or box-and-whisker plot) is a visual representation of the five-number summary, and tells us much more about the spread of the data.
A box is drawn from the 25th percentile to the 75th percentile, and 'whiskers' are drawn from the lowest data value to the 25th percentile and from the 75th percentile to the highest data value.

Examples

  • Given a five-number summary of {Min: 4, Q1: 7, Med: 10, Q3: 12, Max: 18}, a box plot would show a box extending from 7 to 12 with a line at 10, and whiskers reaching to 4 and 18.
  • A data set of quiz scores is {5, 6, 6, 7, 8, 9, 10}. The five-number summary is {Min:5, Q1:6, Med:7, Q3:9, Max:10}. Its box plot has a box from 6 to 9 and whiskers from 5 to 10.
  • If one box plot has a much longer box than another, it means the middle half of its data is more spread out. A longer right whisker means the top 25% of values are more spread out than the bottom 25%.

Explanation

A box plot turns the five-number summary into a picture. The 'box' contains the middle 50% of your data. The 'whiskers' stretch out to the highest and lowest values, showing the full range and how spread out everything is.

Section 2

Calculating the 5-Number Summary and IQR

Property

The 5 number summary consists of five values: Minimum, Q1, Q2 (median), Q3, and Maximum. To find them:

  1. Order the data from smallest to largest. The ends are the Minimum and Maximum.
  2. Find the median of the entire data set (Q2).
  3. Find the median of the lower half of the data (Q1).
  4. Find the median of the upper half of the data (Q3).

The interquartile range (IQR) is the distance from Q1 to Q3, representing the middle 50% of the data. IQR = Q3 - Q1.

Examples

  • For the data {2, 5, 6, 9, 11, 14, 17}, the 5 number summary is: Min=2, Q1=5, Q2=9, Q3=14, Max=17. The IQR is 145=914 - 5 = 9.
  • For the data {10, 20, 25, 35, 45, 50}, the median (Q2) is 30. The lower half is {10, 20, 25}, so Q1=20. The upper half is {35, 45, 50}, so Q3=45. The IQR is 4520=2545 - 20 = 25.
  • Given a 5 number summary of Min=5, Q1=12, Q2=18, Q3=22, Max=30, the range is 305=2530-5=25 and the interquartile range (IQR) is 2212=1022 - 12 = 10.

Explanation

The 5 number summary provides a quick snapshot of your data's distribution. The IQR is a powerful measure of spread because it focuses on the middle half of the data, which means it isn't affected by unusually high or low outliers.

Book overview

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

Continue this chapter

Chapter 7: Statistics and Probability

  1. Lesson 1

    Lesson 1: What Is a Statistical Question?

  2. Lesson 2

    Lesson 2: Understanding Measures of Center

  3. Lesson 3

    Lesson 3: Outliers and Their Impact on Data

  4. Lesson 4

    Lesson 4: Understanding Variability in Data

  5. Lesson 5Current

    Lesson 5: Box Plots and the Five-Number Summary

  6. Lesson 6

    Lesson 6: Visualizing Data with Dot Plots and Histograms

  7. Lesson 7

    Lesson 7: Analyzing Data Distributions with Dot Plots and Histograms