Normal Distribution Toolkit (PDF/CDF/Inverse) — Notebook Template

Compute normal PDF, CDF, and inverse CDF (quantiles) with documented parameters. Great for z-scores and percentiles.

stats normal-distribution cdf quantile

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What this template does

This is a ready-to-run GetCalcMaster Notebook starter. Open it into Notebook, run once with defaults, then tweak inputs and keep your assumptions next to the math.

How to use it (recommended)

Open in Notebook.
Set μ (mean) and σ (standard deviation).
Compute PDF/CDF at x and the inverse CDF (quantile) at probability p.
Verify with symmetry when μ=0 and σ=1 (standard normal).
Snapshot the run with parameters recorded.

Tip: When a result matters, verify it twice: a unit check + a second method (graph/estimate).

Preview (first cells)

This preview is for readability. The full template loads into Notebook when you click Open.

TEXT

# Normal Distribution Toolkit

GetCalcMaster supports:

- `normalpdf(x, μ, σ)`
- `normalcdf(x, μ, σ)`
- `normalinv(p, μ, σ)`

**Notes:**
- σ must be positive.
- `normalcdf` returns P(X ≤ x).

MATH

mu = 0

MATH

sigma = 1

MATH

x = 1.96

MATH

pdf = normalpdf(x, mu, sigma)

MATH

cdf = normalcdf(x, mu, sigma)