Enter and manage datasets for statistical analysis. Perform descriptive statistics, hypothesis testing, and confidence interval calculations. Conduct linear, exponential, and power-law regression.
by Ulrich Hoensch★ 4.04 ratingsEducationFreeData updated 2026-09-06
Solve equations and graph functions with advanced math support. Perform calculus operations and matrix calculations. Customize settings for precision. Access detailed tutorials and a comprehensive user manual.
The app performs common first-year university statistics tests. It is designed for ease of use, making it suitable for introductory statistics students.
Allows users to upload or snap a photo of a problem for instant solutions. It provides detailed, accurate explanations and breaks down complex calculations into clear steps.
Learn to identify musical intervals, chords, scales, and rhythms by listening. Practice ten exercises including interval and chord recognition, melody and rhythm dictation, and chord progressions.
Allows users to perform complex calculations with a natural display that shows expressions as written. It supports fractions, roots, and exponents. The includes a graphing module for visualizing equations.
Perform complex number calculations and trigonometric functions. Handle matrix operations and numerical root finding. Calculate integrals and statistical values including linear regression. Write and execute custom programs. No ads or in- purchases.
Analyze datasets by importing files or entering manually. Apply filters to focus on specific rows. View key statistics and visualizations for each variable. Understand results with plain English explanations of statistical methods.
Calculate probabilities, plot distributions, and find percentiles
Calculate probabilities and percentiles for normal, t, chi-square, F, exponential, gamma, beta, log-normal, Pareto, and Weibull distributions. Plot density functions for these distributions.
Calculate stats, graph data, and explore distributions
Calculate descriptive statistics, generate graphs, and explore common distributions. Perform one and two sample hypothesis tests. Compute probabilities and inverse probabilities with visual representations.