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....
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...
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...
Curated OER
Comparison of Univariate and Bivariate Data
Learners explore the concept of univariate and bivariate data. In this univaritate and bivariate data lesson, pupils discuss the differences between univariate and bivariate data. They work sample problems where they must construct box...
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...
Flipped Math
Unit 4 Review: One Variable Statistics
It's always nice to slow down and review. Scholars work on problems covering concepts on one-variable statistics. They create and interpret box plots and stem-and-leaf plots, determine the mean, median, mode, interquartile range, 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.
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.
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...
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 instructional activity, they use the data to...
Statistics Education Web
Saga of Survival (Using Data about Donner Party to Illustrate Descriptive Statistics)
What did gender have to do with the survival rates of the Donner Party? Using comparative box plots, classes compare the ages of the survivors and nonsurvivors. Using the same method, individuals make conclusions about the gender and...
Curated OER
Interpreting and Displaying Sets of Data
Students explore the concept of interpreting data. In this interpreting data lesson, students make a line plot of themselves according to the number of cubes they can hold in their hand. Students create their own data to graph and...
Mathematics Vision Project
Module 9: Modeling Data
How many different ways can you model data? Scholars learn several in the final module in a series of nine. Learners model data with dot plots, box plots, histograms, and scatter plots. They also analyze the data based on the data...
Statistics Education Web
Consuming Cola
Caffeine affects your heart rate — or does it? Learners study experimental design while conducting their own experiment. They collect heart rate data after drinking a caffeinated beverage, create a box plot, and draw conclusions. They...
Curated OER
Box and Whiskers
Middle schoolers discover how to relate collected data with a box and whiskers graph in a number of formats. They collect, organize, create, and interpret a box and whiskers graph. Pupils interpret the difference between sets of data,...
Curated OER
Analyze and Interpret Statistical Information
In this probability and statistics learning exercise, 9th graders analyze and interpret histograms as they identify trends in the data. The two page learning exercise contains four problems. Answers are provided.
EngageNY
Describing Center, Variability, and Shape of a Data Distribution from a Graphical Representation
What is the typical length of a yellow perch? Pupils analyze a histogram of lengths for a sample of yellow perch from the Great Lakes. They determine which measures of center and variability are best to use based upon the shape of the...
EngageNY
Comparing Distributions
Data distributions can be compared in terms of center, variability, and shape. Two exploratory challenges present data in two different displays to compare. The displays of histograms and box plots require different comparisons based...
Curated OER
Graph It!
There is more than one way to represent data! Learners explore ways to represent data. They examine stacked graphs, histograms, and line plots. They conduct surveys and use stacked graphs, histograms, or line plots to chart the data they...
Curated OER
Lesson #46: Bar Graphs and Line Graphs
In this bar graphs and line graphs instructional activity, students interpret bar graphs, line graphs, and box-and-whisker plots. They find the measures of central tendency. This three-page instructional activity contains notes,...
US Department of Commerce
How Are Single-Parent Households Distributed Across the United States?
There sure are a lot of single-parent households in the country. After selecting one of four US regions to investigate, pupils create dot plots and box plots on the percentage of single-parent households with male parents and female...
American Statistical Association
Armspans
Young mathematicians collect data on the arm spans of classmates. Then they sort the data by measures of center, spread, and standard deviation. Finally, they compare groups, such as boys and girls, to interpret any differences.
Mathematics Vision Project
Modeling Data
Is there a better way to display data to analyze it? Pupils represent data in a variety of ways using number lines, coordinate graphs, and tables. They determine that certain displays work with different types of data and use two-way...