But it's just a game! Learners play a game to learn basic concepts of statistical hypothesis testing. After using the digital-game module, pupils develop their own statistical hypotheses and test them.

Open your imagination to make algebra-inspired creations. An interactive lesson has scholars graph images from a set of parameters. Users can practice minimum values, maximum values, and scale as well as key features.

A change in a parameter can end in overpopulation. The resources gives pupils the opportunity to control the parameters of rabbits and wolves in a natural setting. Using the set parameters, the simulation runs and displays the population...

They say you can interpret statistics to say what you want them to. Teach your classes to recognize valid experimental results! Pupils analyze experiments and identify flaws in design or statistics. 

This discussion of statistical t distributions is presented in notes with examples added as needed.

An extensive collection of links on statistics and probability can be found here! Discussions ranging from the basics of stats through more complex data analysis. Topics are broken down into sections for teachers, students, WebQuest...

[Free Registration/Login may be required to access all resource tools.] Make a scatter plot of data and find the line of best fit to represent that data.

Video program showing how to use a scatter plot to illustrate relationship between response and explanatory variables, to determine patterns in variables, and to calculate least squares. Real-life examples -- manatee deaths per number of...

Video presentation on the probability of independent events, covering related topics: multiplication rule, random variable, and mean and standard deviation. [28:41]

The Advanced Data Grapher can be used to analyze data with box plots, bubble graphs, scatterplots, histograms, and stem-and-leaf plots.

Explore what the standard deviation is as it relates to the graph of a normal distribution curve.

The practice problem has learners sketch a line of best fit, create a linear model, and compare both lines on a calculator. The given points are available in PDF format.

The practice problem has learners sketch a line of best fit, create a linear model, and compare both lines on a calculator. The given points are available in PDF format.

Students sketch a line of best fit, create a linear model, and compare both lines on a calculator. The given points are available in PDF format.

Students sketch a line of best fit, create a linear model, and compare both lines on a calculator. The given points are available in PDF format.

Students investigate the line of best fit and the regression feature of a graphing calculator. The example consists of a math graph with given points that are available in PDF format.

Students investigate the line of best fit and the regression feature of a graphing calculator. The example consists of a math graph with given points that are available in PDF format.

The practice problem explores the validity of the line of best fit and a linear regression model created on a graphing calculator. The given points are available in PDF format.

The practice problem explores the validity of the line of best fit and a linear regression model created on a graphing calculator. The given points are available in PDF format.

Students calculate a linear regression model using a graphing calculator. The given points are available in PDF format.

Students calculate a linear regression model using a graphing calculator. The given points are available in PDF format.

The exercise has learners create the line of best fit for the given points. The handout is available in PDF format.

The exercise has learners create the line of best fit for the given points. The handout is available in PDF format.

The learning tool displays data in the form of a histogram. The tool also shows descriptive statistics and probability distributions. Examples of data are included.