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Teacher Resources Available for Box Plots
A complete set of box plot resources for middle and senior statistics classes. Use these lessons, worksheets, question banks and assessments to teach students how to build a five-number summary, draw box-and-whisker plots, calculate the interquartile range and compare distributions side by side.
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What’s Included in the Resources for Box Plots?
🔥Curriculum Aligned
Curriculum-Aligned Box Plot Lessons
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🌍 Differentiated for Students
Five-Number Summary Practice Questions
💡Incredible Teacher Resources
Worksheets progress from reading a finished box plot, to plotting one on a labelled scale, to comparing two distributions and identifying outliers using the 1.5 × IQR rule. Differentiated sets cover introductory through extension so a mixed-ability class can work from the same lesson.
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Interactive Resources
Practice Questions
Worksheets That Build From Reading to Drawing
Structured Solutions
Differentiated Questions
Lessons mapped to Australian Curriculum v9.0 Statistics and US Common Core 6.SP.B.4 and S-ID.A. Each unit walks students from raw data to a finished box plot, with worked examples on test scores, sports performance and household data so the statistics feel concrete rather than abstract.
Real-World Applications
Engaging Exercises
A graded question bank that drills the building blocks: ordering a data set, finding the minimum and maximum, locating the median, splitting the lower and upper halves to find Q1 and Q3, and calculating the interquartile range. Answer keys show the working step by step.
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What is covered in the resources for box plots?
Introducing Box Plots and the Five-Number Summary
Mid-unit activities move students into building box plots from scratch on a labelled scale and reading them back. Practice questions ask students to identify the median, calculate the interquartile range as Q3 minus Q1, and describe the spread and skew of a distribution in plain language. A separate set of questions covers outliers, applying the 1.5 × IQR rule to decide whether a data point sits outside the typical range. The questions move from clean integer data into decimals and larger samples so students see how the same procedure scales up.
Comparing Distributions and Real Data Analysis
The introductory resources teach students to summarise a data set using five values: the minimum, lower quartile (Q1), median, upper quartile (Q3) and maximum. Worked examples take a small data set such as class test scores or daily temperatures, order the values, and then locate each summary point on a number line. Once the five-number summary is clear, students draw the box from Q1 to Q3, mark the median inside, and extend whiskers to the minimum and maximum. This grounds the visual representation in the underlying calculations rather than treating the box plot as a memorised shape.
Constructing and Interpreting Box-and-Whisker Plots
Extension resources use parallel box plots to compare two or more groups, for example boys versus girls on a fitness test, or two school cohorts on the same assessment. Students compare medians to judge typical performance, compare interquartile ranges to judge consistency, and use whisker length and outliers to discuss spread. Real-data tasks pull from public sources such as census income data and sports statistics so students practise drawing reasoned conclusions, the same skill they need for senior data investigations and Statistics units in upper secondary.
Teachers save hours with these resources on box plots