10+ similar apps compared and reviewed
Izzy Statistics 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 computes descriptive statistics, performs statistical tests, and provides regression analysis for quantitative variables. It offers features commonly found on handheld calculators, including data entry and probability calculations for standard distributions.
This application provides interactive tools for statistical analysis, including bootstrap confidence intervals and permutation tests. It helps users understand statistical procedures through step-by-step illustrations and offers various methods for analyzing means, medians, proportions, and correlations. Users can input their own data or use preloaded examples.
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.
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.
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.
