Explore probability theory with interactive animation that simulates the rolling of dice, tossing of coins and generating random numbers. Evaluation options include bar graphs, table of trials data, settings for specifying the number of trials, ways to collect data and weighting. In addition, students can export data for further exploration.

Students can use Cabri Jr. to explore some of the characteristics of tangents.

This lesson has students discover properties of inscribed angles in a circle. Students use the Geometer's Sketchpad application for the TI-89 to construct a circle and an inscribed angle.

In this activity, students understand the concepts associated with the graphs of linear functions. They find and plot points, sketch graphs, and calculate gradient and intercepts.

Here's a very detailed, step-by-step activity for students to do to learn about the relationship between the factored form of a polynomial function and its graph. Calculator instructions for the TI-83 are given, right down to the screen dimensions!

This is designed for Algebra 2 students to help them develop an understanding of transformations, asymptotes, domain and range.

In this activity, students observe the derivative as an indicator of increasing/decreasing function behavior. They also see that the derivative is an indicator of local maxima/ minima function behavior. Students learn to associate the graph of a function with its derivative.

In this activity, students compute statistical measures like the mean, standard deviation, and variance of the data set. They understand how measures of variability can be interpreted.

This StudyCards stack enables students to review the vocabulary used in studying human genetics.

Students will identify different types of correlations graphically and by using the linear regression analysis obtained from a TI-84 Plus calculator. Students will also obtain and know the significance of a correlation coefficient as a result of this lesson.

In this activity, students test if a significant relationship exists between a bivariate data set, and then calculate the confidence and predictive intervals. They also improve the interval-prediction capabilities by automating the process.

This set contains questions regarding inference for the slope of the least-squares linear regression line. The student learns to develop hypotheses, find the test statistic, and reach a conclusion in the context of the original problem.

Review inverse functions with your students using this TI-83 activity. Students will find inverses of given functions, determine whether the inverse is a function, graph both, and check for symmetry through the line y=x. The lesson includes calculator keystroke instructions and screenprints.

Students will identify and solve problems related to inverse variation and the constant of the cf the variation. Students will apply terms related to inverse variation and the constant of the variation.

In this activity, students review definitions of terms such as right triangle, hypotenuse, midpoint, vertices, and equidistant. They also discover an important characteristic of the midpoint of the hypotenuse.

This activity is a review of iteration. There are three problems to check students' understanding of iteration.

In this activity, students will explore the Law of Large Numbers. By examining unfair models, they will expand their understanding of probability. They predict the weighting of an unfair model by analyzing experimental data and distributions. They will also formulate and test a hypothesis on the fairness of models.

In this activity, students can use the Probability Simulation application to roll a fair die and explore the Law of Large Numbers. They will conduct probability experiments that involve tossing a fair die, graph the results, compare the experimental probability to its theoretical probability and see how the Law of Large Numbers affects the results.

This activity compares children's age to height to teach linear regressions. The handout includes notes for students and teachers with a step-by-step lesson on how to do three types of linear regressions - Best Fit line, Median Line and Least Squares Line.