Visual Representation of Reduced Fat

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. 

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...

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...

In this bar graphs and line graphs worksheet, students interpret bar graphs, line graphs, and box-and-whisker plots.  They find the measures of central tendency.  This three-page worksheet contains notes, vocabulary, and...

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...

Box in the similarities and differences. The 19th lesson 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 similarities and...

Box and whiskers have more to do with data than they do with cats! A video lesson describes how to plot, analyze, and compare box plots. Mathematicians first learn to create a box plot and then how to use information about the quartiles...

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.

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.

Middle and high schoolers use a spreadsheet to graph data. In this graphing lesson, learners determine how two parameters are correlated. They create a scatter plot graph using a computer spreadsheet.