Geometry Quick Reference vs Art of Stat

Geometry Quick Reference is a basic information tool for middle school and high school level geometry students. It provides a simple way to access and review the basic concepts of geometry. Here are a few of the ways you will use Geometry Quick Reference everyday with your students: • Geometry Quick Reference as an informational tool to help students understand and review basic concepts of Geometry, including the basic concepts, lines and planes, area, perimeter, parts of a circle, solids (volume), Cartesian coordinates and the right triangle including basic trigonometric functions, and more. •Tap the areas of the screen to bring up more detailed information and explanations about essential geometric concepts. •Tap to the question mark icon to activate a quiz and test understanding of terms and concepts.

Explore the Central Limit Theorem, learn about the correlation coefficient and linear regression, and visualize the coverage probability of confidence intervals or Type I & II Errors in hypothesis testing. Build understanding by experiencing these important concepts step-by-step. For students and teachers of statistics. The Art of Stat: Concepts app provides access to the following modules: - Central Limit Theorem for Means - Central Limit Theorem for Proportions - Explore Correlation - Explore Linear Regression - Explore Coverage - Errors & Power CLT: Select from several real population distributions (left and right-skewed or fairly symmetric) and simulate taking a sample from the population. Visualize how the sampling distribution builds, step-by-step. Explore the effect on the sampling distribution as you increase the sample size. Overlay the normal distribution. Compare the sampling distribution of the mean to the population distribution, both visually and in terms of key statistics. Explore Correlation/Linear Regression: Create (and delete) points in a scatterplot by tabbing on the screen. Show the regression line or residuals. Simulate scatterplots and guess the correlation coefficient. Coverage and Errors: Explore what 95% coverage for a confidence interval for a population mean or proportion implies. See the Type I and Type II error and explore how they depend on the sample size and the true parameter value. Find and visualize the power of a hypothesis test.