StatPilot: Learn with R

Stop memorizing formulas you don't understand. StatPilot is a hands-on statistics companion that lets you draw samples, run real tests, and watch the results build in real time — instead of just reading about them in a textbook. Every calculation is checked against R to machine precision, and every module shows you the equivalent R code, so what you learn here transfers directly to the software your course actually uses. WHAT'S INSIDE • Import your own CSV data — run real tests, models, and confidence intervals on your own dataset, not just synthetic examples, across nearly every module • Initial Data Analysis — explore a realistic messy dataset: missing values, duplicates, outliers, distribution shape • Chart Selection Guide — a decision tree that recommends the right chart for your data, with base R and ggplot2 code for each • Probability Distributions — 15+ discrete and continuous distributions with live, adjustable PDF/CDF charts • CLT & Sampling Distributions — watch the Central Limit Theorem happen, not just read about it • Confidence & Prediction Intervals — Wald, Wilson, exact, and bootstrap-t methods, side by side • Hypothesis Testing — t-tests, z-tests, ANOVA (including Welch's), chi-square, Fisher's Exact, Mann-Whitney, Wilcoxon, Kruskal-Wallis, correlation tests, and more • A guided "Which Test to Use?" decision tree for when you don't yet know the vocabulary • Assumption Tests — normality, equal variances, and regression diagnostics • Models — simple, multiple, and logistic regression with live model fitting • R Foundations — 25+ topics covering vectors, data frames, the tidyverse, and data wrangling, each with real R code and output THE FRAMEWORK Every hypothesis test in StatPilot walks through the same five steps: Hypotheses, Assumptions, Test Statistic, P-Value, Conclusion. Once you've seen it once, you've seen the shape of every test — the specifics change, the structure doesn't. WHO IT'S FOR Students in intro or intermediate statistics, biostatistics, or data science courses — especially if your course uses R. Also useful as a fast, visual refresher if it's been a while since your last stats class. Built for iPhone, iPad, and Mac. One-time purchase — no subscription, no ads, no in-app purchases.