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Box and Whiskers Plot Activity with Real World Data Comparisons

Rated 4.83 out of 5, based on 18 reviews
4.8 (18 ratings)
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Rise over Run
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Grade Levels
6th - 7th
Subjects
Resource Type
Standards
Formats Included
  • PDF
Pages
7 pages
$3.75
$3.75
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What educators are saying

This activity was a great way for my students to visually compare box plots as well as get practice creating them. I also loved how it was real life data that they were using to create the box plots.
Great for Open House. Students were required to explain to parents how to build a box and whisker plot.
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Description

Help students understand how and why to use box & whiskers plots with this real world application using data about temperatures in different cities.

Students use data about the highest average temperature for each month in a city. They locate it on a world map and then create a vertical box plot using the vertical number line provided. Once students create their individual cities’ box plots, all the data can be displayed on a wall for comparison. This leads to some great discussions about the shape and spread of data.

Here’s what is included:

  • Activity Guide
  • Data for 30 different cities (12 temperatures each)
  • Student sheets for creating a box & whisker plot (These print 2 per page.)
  • Discussion question suggestions & extension ideas
  • A key showing the minimum, 1st quartile, median, 3rd quartile, and maximum for the 30 given cities (to save you time checking work!)

This is a great way to incorporate geography with math.

Vertical box plots are utilized because they are often used in real data displays. The vertical arrangement also makes sense visually for temperature comparisons.

Students may wonder why they would ever need to create a box plot or what they are used for. This lesson shows them how useful the visual of a box & whiskers plot can be!

Total Pages
7 pages
Answer Key
N/A
Teaching Duration
1 hour
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Standards

to see state-specific standards (only available in the US).
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. For example, decide whether the words in a chapter of a seventh-grade science book are generally longer than the words in a chapter of a fourth-grade science book.

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