Confidence Interval for a Mean (t-based) — Notebook Template

Compute a t-based confidence interval for a sample mean when σ is unknown (educational). Includes margin of error and assumptions.

stats confidence-interval t-distribution
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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)

  1. Open in Notebook.
  2. Enter sample mean x̄, sample standard deviation s, and sample size n.
  3. Choose confidence level (e.g., 0.95).
  4. Compute t* with tinv(1−α/2, df) and the margin of error.
  5. Record assumptions (random sample, approximate normality or large n).
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
# Confidence Interval for a Mean (t-based)

When σ is unknown, a common CI uses:

**x̄ ± t* · s / √n**

Where df = n−1 and t* = `tinv(1−α/2, df)`.

Educational template only.
MATH
xbar = 72.4
MATH
s = 8.3
MATH
n = 25
MATH
conf = 0.95
MATH
alpha = 1 - conf