Statistics Lab

n: 30μ: 50σ: 15

Statistics Explorer – Data Analysis & Hypothesis Testing

Statistics is the science of collecting, summarizing, and drawing inferences from data, and it is the primary tool scientists and analysts use to turn noisy measurements into reliable conclusions. This explorer loads real or user-supplied datasets, computes descriptive statistics (mean, median, standard deviation, quartiles), and renders box plots, histograms, and scatter plots. You can run t-tests and chi-square tests, adjust significance levels, and see p-values update instantly, building a working understanding of how statistical inference operates in practice.

What you can do in this simulation

Upload or select sample datasets and compute mean, median, variance, and quartiles instantly
Generate histograms, box plots, and scatter plots with configurable bin sizes
Run one-sample and two-sample t-tests and read p-values and confidence intervals
Fit a linear regression line to scatter data and display R² and residual plots
Perform chi-square goodness-of-fit tests on categorical data with observed vs expected tables

Concepts covered

statistics · descriptive statistics · hypothesis testing · regression · p-value · confidence interval

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