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Constructing Box-and-Whisker Plots - Stations Activity

Rated 4.84 out of 5, based on 19 reviews
4.8 (19 ratings)
;
Data Driven Mathematics
457 Followers
Grade Levels
6th - 12th
Subjects
Resource Type
Standards
Formats Included
  • Zip
Pages
10 Stations/Problems
$2.50
$2.50
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Data Driven Mathematics
457 Followers

What educators are saying

My students enjoy using stations in the classroom, and I loved how this reinforced their skills from 6th grade, as well as current skills in 7th grade.

Description

About This Resource:

In this activity students will practice constructing box-and-whisker plots when provided a data set. Students will need to calculate the five number summary (minimum, first quartile, median, third quartile, and maximum) in order to be successful on this activity.

The prep required by the teacher consists of printing the stations cards, making a copy of the graphic organizer for each student, and setting the expectations and instructions with their students.

Your students will love this activity and the process will allow you to navigate the room and identify the weaknesses and strengths of your students.

What's Included:

  • Station Cards (both PDF file and PNG files included)
  • Box-and-Whisker Plot Stations Activity with Graphic Organizer (PDF file)
  • Answer Key (PDF file)

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Total Pages
10 Stations/Problems
Answer Key
Included
Teaching Duration
45 minutes
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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.
Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.
Represent data with plots on the real number line (dot plots, histograms, and box plots).

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