10+ similar apps compared and reviewed
Statistics Calculator Lite is great, but it's not the only option. Explore 10+ similar apps for iPhone and iPad, each reviewed and rated by real users. Find free alternatives, premium upgrades, and hidden gems.
This app serves as a comprehensive statistics calculator and learning tool for introductory statistics courses. It offers a wide range of calculation features, data visualization, and an integrated textbook with formulas and examples.
This app calculates standard deviation, variance, and other statistical measures for a given set of values. It simplifies complex statistical formulas with a user-friendly interface and accurate results.
Explore and visualize probability distributions with interactive graphics. Calculate probabilities, percentiles, and critical values. Works offline and offers a wide range of continuous and discrete distributions.
Explore statistical methods for analyzing categorical and quantitative data. Generate various charts and plots, including interactive scatterplots, and utilize a built-in data editor. Import your own data or use preloaded examples.
This app helps students and teachers visualize and understand core statistical concepts like the Central Limit Theorem, correlation, and hypothesis testing. Interactive modules allow for step-by-step exploration of sampling distributions, regression, and error probabilities.
This app is a statistical calculator for performing confidence intervals and hypothesis tests on proportions and means. It offers various tests including z-tests, t-tests, McNemar's test, and ANOVA, with clear visualizations of results and P-values. It also includes a data editor and works offline.
Calculate probabilities, find percentiles, and visualize probability density or mass functions for a wide range of continuous and discrete statistical distributions. Explore common distributions like normal, binomial, Poisson, and many more.
This app helps you analyze data by creating scatterplots and fitting various regression models. Visualize model parameters, confidence intervals, and predictions, and explore relationships with categorical variables.
