Statistics templates
Regression, distributions, and data sanity checks you can rerun.
Compute binomial probabilities for k successes in n trials with success probability p. Includes PMF, CDF, and inverse.
Compute a t-based confidence interval for a sample mean when σ is unknown (educational). Includes margin of error and assumptions.
Compute normal PDF, CDF, and inverse CDF (quantiles) with documented parameters. Great for z-scores and percentiles.
Model counts with a Poisson rate λ: compute probabilities and cumulative probabilities for events.
Paste (x,y) points, fit models, inspect R², and plot alongside data.
Compute t CDF values and critical t quantiles for confidence intervals and hypothesis tests (educational).
Standardize a value, compute its percentile (normal assumption), and document whether the assumption is reasonable.
Templates in Statistics
These notebook starters are designed to be edited. Open the details page, then move the workflow into your own notebook.
- Start from the assumptions cell (units + constants).
- Run once with defaults, then tweak and rerun.
- Capture a snapshot when you reach a stable configuration.
- If a result matters, verify it with a second method (unit check + estimate + graph).
Fast workflow
- Open a template detail page and skim the steps.
- Open Notebook and paste/adjust cells as needed.
- Use graphing + unit conversion tools to sanity-check.
- Save your version as a separate notebook for future reuse.