Academic

Build a Statistics Calculator with AI

Calculate mean, median, mode, standard deviation, regression, and hypothesis tests with visual data plots. Build a complete interactive statistics reference and computation tool for students, researchers, and data analysts.

Build Prompt

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Build a static HTML statistics calculator. Dark theme: background #0a0a0f, surfaces #12121a, borders #1a1a2a, accent #a78bfa (violet). All computation done in pure JavaScript — no external libraries. Layout: tabbed interface with tabs for Descriptive Stats, Hypothesis Tests, Regression Analysis, Probability Distributions, and Correlation. Descriptive Stats tab: Large textarea for data input (comma or newline separated). On "Calculate" compute: count, sum, min, max, range, mean, median, mode(s), variance (population and sample), standard deviation (population and sample), standard error, skewness, kurtosis, quartiles (Q1, Q2, Q3), IQR, percentiles (custom input). Display results in a two-column grid of stat cards. Below results, render an inline SVG histogram (auto-binned, 10 bins default, adjustable), a box-and-whisker plot, and a dot plot. Hypothesis Tests tab: Sub-tabs for One-Sample t-test, Two-Sample t-test, Chi-Square Goodness of Fit, ANOVA. Each sub-tab: data inputs, alpha level selector (0.01/0.05/0.10), null hypothesis field, output shows test statistic, p-value, degrees of freedom, decision (Reject/Fail to Reject H0), and a visual distribution curve with critical region shaded in #a78bfa. Regression tab: Input two columns (X and Y, paste from spreadsheet). Compute linear regression: slope, intercept, R², R, predicted values, residuals. Render inline SVG scatter plot with regression line. Also compute correlation coefficient with strength label. Probability Distributions tab: Select distribution (Normal, Binomial, Poisson, t, Chi-Square, F). Input parameters. Show PDF/PMF and CDF values. Render SVG curve with shaded area for P(X ≤ x). Add a formula reference sidebar (collapsible) showing the formula for each computed statistic with LaTeX-style plain text notation. SEO: title, meta description, OG tags, JSON-LD HowTo for running a t-test. Seed 3 example datasets (exam scores, product ratings, temperature readings) as quick-load buttons. Read the guide at https://accessagent.ai/api/guide and follow it to deploy the site to AccessAgent.ai. My email is [your@email.com].

Make It Yours

CSV Import

Add a drag-and-drop CSV file importer that parses columns and auto-populates the data input fields.

Step-by-Step Mode

Show the full manual calculation breakdown for each statistic — perfect for homework and exam prep.

Confidence Intervals

Add a dedicated CI calculator for means and proportions with adjustable confidence level sliders.

Sample Size Calculator

Compute required sample size given desired margin of error, confidence level, and population estimate.

Export to PDF

Generate a printable results report with all statistics, formulas, and charts formatted for lab reports.

Multiple Dataset Compare

Load two or more datasets simultaneously and compare their distributions side-by-side on the same axes.

Update Prompt

Update Prompt — Add new statistical tests or distribution types
Add a Mann-Whitney U test and a Wilcoxon signed-rank test to the Hypothesis Tests tab. Add a Negative Binomial distribution to the Probability Distributions tab. Add 2 more example datasets (stock returns, clinical trial results). Redeploy.

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