AP Statistics Mission

Normal Distribution & Z-Score Explorer

Interactive bell curve with shaded probability regions. Convert between raw scores and Z-scores with numerical integration.

Start with the normal distribution — central to all inference.

Confidence Interval Calculator

Calculate confidence intervals for means (z and t) and proportions. See margin of error, critical values, number line visualization, and sample size calculations.

Hypothesis Testing Calculator

Run z-tests, t-tests, two-sample t-tests, and chi-square goodness-of-fit tests. See test statistics, p-values, critical values, and step-by-step breakdowns.

Chi-Square Test

Test independence with contingency tables up to 4x4. Chi-square statistic, p-value, Cramer's V, and grouped bar chart.

Linear Regression Calculator

Find the best-fit line for paired data. See slope, intercept, correlation, R-squared, scatter plot, and residual analysis.

ANOVA Calculator

One-way ANOVA for comparing 2-6 group means. F-statistic, p-value, effect size, summary table, and side-by-side box plots.

Sampling & Randomization Lab

Compare SRS, stratified, cluster, systematic, and convenience sampling on a population grid. Detect bias, build sampling distributions, and watch standard error decrease with sample size

Bootstrap & Confidence Interval Lab

Draw bootstrap resamples to build confidence intervals using percentile, normal, and BCa methods. Run coverage simulations to verify that 95% CIs capture the true parameter 95% of the time

Hypothesis Testing Lab

Set up a one-sample z-test. Enter population mean, sample mean, standard deviation, and sample size. Compute the z-statistic, p-value, and decision to reject or fail to reject the null hypothesis.

Regression & Residual Diagnostics Lab

Fit linear, quadratic, and exponential models then diagnose fit with residual plots, leverage, Cook's distance, and Q-Q plots. Explore Anscombe's Quartet to see why R² alone is not enough

Capstone — diagnose and interpret regression models.