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.

News: The Regression app is now part of the all new "Art of Stat" app, which contains the Regression and seven other modules. Please consider getting the Art of Stat app for the latest updates and features from the App Store. Simply search for "Art of Stat" on the App Store. This app will continue to work, but future development is concentrated on the new Art of Stat app. Original Description: The Art of Stat: Regression app creates scatterplots, fits linear, logistic, Poisson or exponential regression models, and displays inference for model parameters (standard errors, confidence intervals, P-values). The app now also fits multiple linear and logistic regression models and allows including categorical predictors and two-way interactions! The app computes and displays confidence intervals for the mean response and prediction intervals for a future response. The fitted model and the intervals are visualized on the scatterplot, and you can obtain and plot raw and standardized residuals. You can color points on the scatterplot according to a third quantitative or categorical variable to reveal additional patterns. For data entry, you can enter your own data via the new Data Editor app, import a CSV file, or choose from several pre-loaded example datasets. Features: - Scatterplot Matrix to study pairwise relationships - Display the fitted regression equation on the scatterplot, even when including (and additional) categorical predictor - Table with all regression coefficients and their inferences (P-values, confidence intervals) - Summary statistics such has R^2, R^2-adjusted and maximized Log-Likelihood - Fitted values and (standardized) residuals (which you can download) - Predictions for your own values of the explanatory variables - Residual plot to check assumptions and for outliers