Students learn about random variables and histograms. Topics explored are continuous random variables, discrete random variables, probability, and frequency distributions. The tutorial investigtes the statistics concepts through class...

[Free Registration/Login may be required to access all resource tools.] This Concept covers making frequency tables and using them to create a histogram.

This site from MathWorld provides a general overview of frequency distribution, complete with a bar graph and explanatory text.

Get independent practice displaying data. Each incorrect response gets a text box explanation and another try. Correct responses are confirmed.

[Free Registration/Login may be required to access all resource tools.] Students will interpret frequency tables and connect data to histograms.

Explains, with examples, what a histogram is, how it differs from a bar graph, and how to interpret one. Includes a set of practice questions.

This is the second chapter of a statistics e-text developed collaboratively by Rice University, University of Houston Clear Lake, and Tufts University. It looks at many different types of data displays and the advantages and...

A step-by-step worked problem demonstrating how to take a set of data and produce a frequency histogram. Hints are provided along the way and the final graph is shown for the user to check.

Students will make histograms, find the frequency of each interval and explore the domain.

In this exercise, students practice reading dot plots and frequency tables. Students receive immediate feedback and have the opportunity to get hints and try questions repeatedly.

[Free Registration/Login Required] In this Flipchart, students are introduced to the interpreting and creating histograms, finding the frequency density, and then graphing the results.

Richland College provides a step-by-step procedure on how to use a TI-82 to construct histograms and box plots and then use this to find frequency distribution.

Dozens of statistical terms are defined and illustrated in this glossary.

Three lessons on different types of data (qualitative, quantitative, univariate, bivariate, biased data) as well as a practice activity and teacher resource.

Practice interpreting and comparing dot plots, histograms, and box plots. Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or receive hints.

Students will determine the mean, median, mode and standard deviation of collected data. They will make a frequency histogram of the grouped data, both on graph paper, and on the TI 83+.