Instructor Tools
Resources for instructors using StatLens in their courses. Browse the tool catalog, build custom datasets, and create shareable links.
Data & Sharing
Dataset Index Live
Browse 100+ bundled datasets by variable type. Each links to its explore tool.
Dataset Builder New
Create a StatLens dataset from CSV. Add metadata and export as JSON.
Link Builder Planned
Pre-configure a tool with dataset, settings, and view. Get a shareable URL and QR code.
Tool Catalog
Every interactive tool on the site. Click any card to open it.
Explore Data
Descriptive Statistics
Dotplot, histogram, or boxplot with summary stats for one numeric variable.
Ch 2–5One Categorical Variable
Bar chart, pie chart, or waffle chart with frequency table.
Ch 2Two Categorical Variables
Two-way contingency table with stacked/side-by-side bar charts and mosaic plot.
Ch 2, 14Grouped Statistics
Compare a numeric variable across groups. Side-by-side dotplots, histograms, or boxplots.
Ch 2, 16Regression
Scatterplot with least-squares line, r, R², residual plot, and regression equation.
Ch 3–4, 18–19Dotplot Editor
Click to add and remove points. Mean, median, and spread update live. Challenge mode available.
Ch 2–5Simulation — Bootstrap
CI for a Mean
Bootstrap resampling to build a confidence interval for a single mean.
Ch 6CI for a Proportion
Bootstrap confidence interval for a single proportion.
Ch 8CI for Difference in Means
Bootstrap confidence interval for μ₁ − μ₂.
Ch 7CI for Difference in Proportions
Bootstrap confidence interval for p₁ − p₂.
Ch 9CI for Paired Differences
Bootstrap confidence interval for the mean of paired differences.
Ch 7CI for Regression Slope
Bootstrap confidence interval for the slope of a regression line.
Ch 18Simulation — Randomization Tests
Test for a Mean
Randomization test for a single mean (shift to null, resample).
Ch 6Test for a Proportion
Randomization test for a single proportion (simulate from p₀).
Ch 8Test for Difference in Means
Randomization test: shuffle group labels, compare means.
Ch 7Test for Difference in Proportions
Randomization test: shuffle group labels, compare proportions.
Ch 9Test for Paired Differences
Randomization test: randomly flip signs of paired differences.
Ch 7Chi-Square Randomization
Randomization test for independence in a two-way table.
Ch 14Chi-Square Goodness-of-Fit
Simulate samples under H₀ to test whether one categorical variable fits a specified distribution.
Ch 16ANOVA Randomization
Permutation F-test: shuffle group labels across 3+ groups.
Ch 16Test for Correlation
Randomization test: shuffle x-y pairings, build null distribution for r.
Ch 18Traditional Inference
One-Sample t
t-test and confidence interval for a single mean.
Ch 10One-Proportion z
z-test and confidence interval for a single proportion.
Ch 12Two-Sample t
Welch’s t-test for the difference in two independent means.
Ch 11Two-Proportion z
z-test for the difference in two proportions.
Ch 13Paired t
t-test and confidence interval for the mean of paired differences.
Ch 11Chi-Square Test
χ² test for independence in a two-way table.
Ch 14–15Chi-Square Goodness-of-Fit Test
Theory-based χ² test that one categorical variable fits a specified distribution.
Ch 16ANOVA F-Test
One-way ANOVA with F distribution, ANOVA table, and condition checks.
Ch 16–17Regression t
t-test and confidence interval for the slope of a regression line.
Ch 19Distribution Calculators
Normal
Probabilities and critical values for the standard normal (z) distribution.
Ch 10, 21t Distribution
t-distribution probabilities with adjustable degrees of freedom.
Ch 10–11Chi-Square
χ² distribution with adjustable degrees of freedom.
Ch 14–15F Distribution
F distribution with numerator and denominator df.
Ch 16–17Binomial
Discrete PMF, cumulative probabilities, and normal approximation overlay.
Ch 21Conceptual Labs
Sampling Distributions
Draw samples from a population, watch the sampling distribution build. See the CLT in action.
Ch 6CI Coverage
Draw 100 confidence intervals and see what “95% confidence” really means.
Ch 6, 22Randomization Test Walkthrough
Shuffle cards step by step, build a null distribution. Guided introduction to randomization logic.
Ch 7Practice & Games
Conclusion Practice
Practice writing hypothesis test conclusions from randomized scenarios with model answers.
Ch 6–9Guess the Correlation
See a scatterplot, guess r. Builds intuition for correlation strength and direction.
Ch 3Regression by Eye
Drag a line to fit the data, see residual squares, compare to the optimal least-squares line.
Ch 4Scatterplot Editor
Drag, add, and remove points; watch the least-squares line, r, and R² respond. Feel leverage vs. influence.
Ch 7, 20Documentation
Instructor Guide New
How to share data, build URLs, create activities, and use StatLens in your course.
URL Parameter Reference Planned
Complete reference for all URL parameters. Pre-configure tools for your students.
Activity Builder Planned
Create guided step-by-step activities that overlay any tool. Export as JSON.