EngageNY
More Practice with Box Plots
Don't just think outside of the box — read outside of it! The 15th lesson in a 22-part unit provides pupils more work with box plots. Learners read the box plots to estimate the five-number summary and interpret it within the context....
EngageNY
Summarizing a Distribution Using a Box Plot
Place the data in a box. Pupils experiment with placing dividers within a data set and discover a need for a systematic method to group the data. The 14th lesson in a series of 22 outlines the procedure for making a box plot based upon...
EngageNY
Understanding Box Plots
Scholars apply the concepts of box plots and dot plots to summarize and describe data distributions. They use the data displays to compare sets of data and determine numerical summaries.
US Department of Commerce
Commuting to Work: Box Plots, Central Tendency, Outliers
Biking may be an outlier. Using data from 10 states on the number of people reporting they bike to work, pupils calculate the measures of center. Scholars determine the range and interquartile range and find which provides a better...
Shodor Education Foundation
Box Plot
What information can come from a box? Learners choose a data set to display as a box plot and decide whether to include the median in the calculation of the quartiles, show the outliers, and change the scale. To finish the lesson,...
Mathed Up!
Cumulative Frequency and Box Plots
Learn how to display data. Young data analysts watch a video to review how to create cumulative frequency histograms and box plots. They work on a set of questions to practice producing these data displays.
Curated OER
Box Plots
Young statisticians are introduced to box plots and quartiles. They use an activity and discussion with supplemental exercises to help them explore how data can be graphically represented.
Virginia Department of Education
Box-and-Whisker Plots
The teacher demonstrates how to use a graphing calculator to create box-and-whisker plots and identify critical points. Small groups then create their own plots and analyze them and finish by comparing different sets of data using box...
EngageNY
Comparing Data Distributions
Box in the similarities and differences. The 19th instructional activity in a unit of 22 presents class members with multiple box plots to compare. Learners use their understanding of five-number summaries and box plots to find...
Achieve
BMI Calculations
Obesity is a worldwide concern. Using survey results, learners compare local BMI statistics to celebrity BMI statistics. Scholars create box plots of the data, make observations about the shape and spread of the data, and examine the...
Radford University
Box-and-Whisker Activity
Think inside the box. Working in small groups, pupils design a study to answer comparing two data sets. Team members collect data and construct box-and-whisker plots and analyze them to prove or disprove their hypothesis. They develop...
Curated OER
Data Analysis
Young statisticians use and interpret measures of center and spread such as mean, median, and mode as well as range. They use box plots to represent their data and answer questions regarding the correspondence between data sets and the...
Mathematics Assessment Project
Temperatures
As a middle school assessment task, learners first examine line graphs of monthly temperatures for two locations, and then match box plots to each line plot.
Laying the Foundation
Box-and-Whisker Plots
Statistics is made approachable, and dare we say fun, in this activity on using box-and-whisker plots to analyze and compare data sets. Specific emphasis is placed on interpretations and explanations while graphing, and in using the...
US Department of Commerce
Does the Percentage of People Who Walk to Work in Cities Vary with Population Size?
To walk or not to walk? Pupils create box plots comparing the percentage of residents who walk to work in large, medium, and small cities. Using the box plots, class members compare the data that reflects available statistics. Scholars...
Curated OER
Comparison of Univariate and Bivariate Data
Learners explore the concept of univariate and bivariate data. For this univaritate and bivariate data lesson, pupils discuss the differences between univariate and bivariate data. They work sample problems where they must construct box...
Curated OER
Starting With Stats
Statisticians analyze a data set of student IQs by finding measures of central tendency and dispersion such as mean, median, mode, and quartiles. They practice using a graphing calculator to find the values and analyze box plots and...
Curated OER
Box Plots on the TI-83 Calculator
Eighth graders research box plots on the Internet. They gather real life statistics and analyze the collected statistics by making multiple box plots on the TI-83 calculator.
Curated OER
Representing Data 2: Using Box Plots
What information can be gleaned from a box and whiskers plot? Discuss the five summary values - minimum, maximum, upper and lower quartiles, and median - and what conclusions can be made from these values? Included here is a matching...
American Statistical Association
Bubble Trouble!
Which fluids make the best bubbles? Pupils experiment with multiple fluids to determine which allows for the largest bubbles before popping. They gather data, analyze it in multiple ways, and answer analysis questions proving they...
Teacherfiles
Plot Graph
Any story can be mapped onto a plot graph. This particular chart includes the mountain shape of a traditional plot graph. Each element of plot is labeled on the page and surrounded by a box to make the words stand out. Learners write in...
Willow Tree
Box-and-Whisker Plots
Whiskers are not just for cats! Pupils create box-and-whisker plots from given data sets. They analyze the data using the graphs as their guide.
Inside Mathematics
Archery
Put the better archer in a box. The performance task has pupils compare the performance of two archers using box-and-whisker plots. The resource includes sample responses that are useful in comparing individuals' work to others.
Statistics Education Web
How High Can You Jump?
How high can your pupils jump? Learners design an experiment to answer this question. After collecting the data, they create box plots and scatter plots to analyze the data. To finish the lesson plan, they use the data to draw conclusions.
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