ODE vs Art of Stat

The ODESolverIntegrator is a simple but elegant app to find the integral of ODEs. You can solve (find the integral of) nonlinear ODEs. You can reduce the higher order ODE to a set of first order ODEs. You can solve (find the integral of) linear ODEs in the form of ẋ = Ax + Bu; y = Cx + Du. This app uses Runge-Kutta 4th order algorithm to solve the ODEs. Once the ODEs are solved, a beautiful interactive graph for each ODE's is created that you can share with other or save it locally. The reduced ODE's equations are presented beautifully in the math-equation format. You can compute definite integral (single, double, tripple). It uses the midpoint method. It automatically saves your hard work locally on your device so you can come back and pick up from where you left off as your great effort will not be lost. This app also has a Study page to help you learn important integration rules like, power rule, product rule, ect. This app is perfect for students learning calculus. Sharpen you brain by using this app and learning about the calculus. This is an app for all student groups. From high school to college to university students. Be creative. Enjoy the app!

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.