August 10, 2026
TI-84 for AP Statistics: Where Every STAT Function Lives
Almost every “how do I calculate ___ on a TI-84” question from a stats class has the same answer, just pointing at a different one of three menus. This is a map of which menu to use for what, plus the handful of values — variance, IQR, mode — that don’t have a dedicated command at all.
The three menus
- STAT → CALC — regression and one-list summaries:
1-Var Stats,LinReg(ax+b). - STAT → TESTS — hypothesis tests and confidence intervals:
Z-Test,T-Test,χ²-Test,TInterval, and the rest. - 2ND + VARS (the DISTR menu) — probability from a named distribution:
normalcdf(,invNorm(,binompdf(,invT(, and others.
Mean, median, standard deviation — and what it won’t give you
STAT → CALC → 1: 1-Var Stats, point it at your list, run it. The first screen shows x̄ (mean), Σx, Σx², Sx (sample standard deviation), σx (population standard deviation), and n. Scroll down with the arrow key for a second screen: minX, Q1, Med, Q3, maxX.
Three things it does not hand you directly:
- Variance — square the standard deviation yourself: sample variance is
Sx², population variance isσx². - IQR — subtract the two values from the second screen:
Q3 − Q1. - Mode — there’s no built-in mode command at all. Sort the list first (
SortA(from the LIST menu) and count the most frequent value by eye, or write a short program if you need it repeatedly.
The regression line and correlation
STAT → CALC → 4: LinReg(ax+b) runs the least-squares regression line (LSRL) on paired data and reports the slope, intercept, and — with diagnostics turned on — r and r². This is covered in more depth, including how to turn diagnostics on, in How to Find the Correlation Coefficient on a TI-84.
Probability from a distribution
Everything under 2ND + VARS answers “what’s the probability” for a specific distribution, split into continuous and discrete:
- normalcdf( / invNorm( — continuous, normal distribution. See How to Find a Z-Score on a TI-84 and How to Find a P-Value on a TI-84 for worked examples.
- binompdf(n,p,x) / binomcdf(n,p,x) — discrete, binomial.
binompdfgivesP(X = x)exactly;binomcdfgives the cumulativeP(X ≤ x). - poissonpdf( / geometpdf( — the same pdf/cdf split for Poisson and geometric distributions, if your course covers them.
Confidence intervals and critical values
STAT → TESTS → 7: ZInterval / 8: TInterval (and the 1-prop, 2-sample versions further down the same list) compute the interval directly from summary stats or a data list — you don’t need the critical value separately for these.
If you do need the bare critical value itself — a t* or z* to plug into your own formula — it comes from the DISTR menu, not TESTS: invT(area to the left, df) for t*, or invNorm(area to the left) for z*. For a 95% confidence interval, that’s the left tail plus half the remaining 5%, i.e. invT(.975, df). (Older, non-CE units on an outdated OS may not have invT — invNorm is the closest built-in substitute if so.)
Hypothesis tests and “the test statistic”
“How do I calculate the test statistic” doesn’t have one answer — it depends on which test your data calls for. Run the matching procedure from STAT → TESTS (Z-Test, T-Test, 2-SampTTest, 1-PropZTest, and so on), and the test statistic is part of what it outputs, labeled z= or t= on the results screen — it isn’t a separate calculation you do afterward.
Chi-square: two different tests, two different inputs
- χ²GOF-Test (goodness of fit) — compares observed counts against expected counts, entered as two separate Lists.
- χ²-Test (association/independence) — compares counts across two categorical variables, entered as a single Matrix (
2nd + x⁻¹ → EDITto build it first).
Mixing these up — entering a matrix where the goodness-of-fit test expects two lists, or vice versa — is the most common reason this one throws an error before it even runs.
Try it yourself
The TI-84 calculator on this site has both menus under Tools: Tools → Tests matches STAT TESTS (the Z/T tests, proportion tests, and χ² Goodness-of-Fit), and Tools → Distributions matches the DISTR menu with the same function names — normalpdf, normalcdf, invNorm, binompdf, and the rest. Full list in the docs.
Try it on the calculator
Open the free TI-84 Plus CE calculator and follow along with what you just read.