Learn on PengiIllustrative Mathematics, Grade 6Unit 8 Data Sets and Distributions

Lesson 4: Median and IQR

In this Grade 6 Illustrative Mathematics lesson from Unit 8: Data Sets and Distributions, students learn how to find the median of a data set by ordering values and identifying the middle number, including how to average the two middle values when the data set has an even count. Students also compare the median to the mean as measures of center, exploring which better represents a typical value in skewed distributions. The lesson builds conceptual understanding through hands-on activities using real-world contexts like sibling counts and bus travel times.

Section 1

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.

Section 2

Constructing a Box Plot

Property

Box plots provide a visual image of the 5 number summary. To create a box plot:

  1. Draw a number line that covers the range of the data.
  2. Draw a rectangle (the box) from Q1 to Q3.
  3. Draw a vertical line segment inside the box at the median (Q2).
  4. Draw horizontal line segments (the whiskers) from the box to the Minimum and Maximum values.

Examples

  • For a 5 number summary of {10, 15, 19, 24, 30}, a box plot would have a box from 15 to 24, a line at 19, a left whisker to 10, and a right whisker to 30.
  • If a box plot has a very long right whisker and the median line is to the left of the box's center, it suggests the data is skewed right, with some high values stretching the data out.
  • Comparing two box plots, one with an IQR of 5 and another with an IQR of 20 shows that the middle 50% of the data in the second plot is much more spread out.

Explanation

A box plot turns the 5 Number Summary into a simple picture. The 'box' shows the spread of the middle 50% of data (IQR), and the 'whiskers' show the spread of the lowest and highest 25%. A wider section means the data in that part is more spread out.

Book overview

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Unit 8 Data Sets and Distributions

  1. Lesson 1

    Lesson 1: Data, Variability, and Statistical Questions

  2. Lesson 2

    Lesson 2: Dot Plots and Histograms

  3. Lesson 3

    Lesson 3: Measures of Center and Variability

  4. Lesson 4Current

    Lesson 4: Median and IQR

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

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.

Section 2

Constructing a Box Plot

Property

Box plots provide a visual image of the 5 number summary. To create a box plot:

  1. Draw a number line that covers the range of the data.
  2. Draw a rectangle (the box) from Q1 to Q3.
  3. Draw a vertical line segment inside the box at the median (Q2).
  4. Draw horizontal line segments (the whiskers) from the box to the Minimum and Maximum values.

Examples

  • For a 5 number summary of {10, 15, 19, 24, 30}, a box plot would have a box from 15 to 24, a line at 19, a left whisker to 10, and a right whisker to 30.
  • If a box plot has a very long right whisker and the median line is to the left of the box's center, it suggests the data is skewed right, with some high values stretching the data out.
  • Comparing two box plots, one with an IQR of 5 and another with an IQR of 20 shows that the middle 50% of the data in the second plot is much more spread out.

Explanation

A box plot turns the 5 Number Summary into a simple picture. The 'box' shows the spread of the middle 50% of data (IQR), and the 'whiskers' show the spread of the lowest and highest 25%. A wider section means the data in that part is more spread out.

Book overview

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

Continue this chapter

Unit 8 Data Sets and Distributions

  1. Lesson 1

    Lesson 1: Data, Variability, and Statistical Questions

  2. Lesson 2

    Lesson 2: Dot Plots and Histograms

  3. Lesson 3

    Lesson 3: Measures of Center and Variability

  4. Lesson 4Current

    Lesson 4: Median and IQR