Data Displays: Line Plots, Histograms, Box and Whisker Plots, Frequency Tables

Math Central
Grade Levels
6th - 8th
Formats Included
  • PDF
48 pages
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Math Central


This is one of my favorite teaching tools!

I created this Data Display set of worksheets this year for my 6th grade class. My students loved using these worksheets to practice their new skills. Each worksheet provides plenty of room for students to create their data displays and answer questions based on the data. Questions ask students to find the mean, median, mode, range, interquartile range, and percentages.

These worksheets are fully aligned with the Common Core Curriculum.

CCS: 6.SP.3; 6.SP.4; 6.SP.5; 6.SP.5b; 6.SP.5c 7.SP.3; 7.SP.4


•Photocopy each worksheet and use them for practice, homework, and as a quick assessment of your students skills.

•Use them in a center or for a station activity.

•Display the worksheets on your white board or Smart Board and complete the data displays as a class.

•Include one of the worksheets in your next test.

•Use a worksheet or two as a quiz.

•Display the answer keys on the board for self checks.

A color and black and white copy are included.

Answer Key Included.

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Total Pages
48 pages
Answer Key
Teaching Duration
Lifelong tool
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to see state-specific standards (only available in the US).
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.
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.
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.
Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
Summarize numerical data sets in relation to their context, such as by:


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