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IB Math TI-84 Reference Guide — AA & AI

Essential TI-84 Plus CE functions for IB Math Analysis & Approaches and Applications & Interpretation. Covers statistics, calculus, and graphing.

IB Math TI-84 Reference Guide — AA & AI

The TI-84 Plus CE is approved for all IB Math papers that permit a GDC (Graphic Display Calculator). This guide covers the functions you'll actually use — organized by IB Math course.

AA vs AI: Which Functions Do You Need?

IB Math has two pathways. Your calculator use differs significantly between them:

FunctionAA SLAA HLAI SLAI HL
Normal distribution (normalcdf)
Inverse normal (invNorm)
Linear regression (LinReg)
χ² test (χ²-Test)
Numerical derivative (nDeriv)
Numerical integral (fnInt)
Hypothesis tests (T-Test, Z-Test)
Binomial distribution (binompdf)

AA students use the TI-84 mostly for calculus and normal distribution. AI students use it heavily for statistics — regression, tests, and distributions.

Normal Distribution — normalcdf and invNorm

These are the most-used functions across both AA and AI.

normalcdf — finding a probability

Finds the probability that X falls between two values.

Syntax: normalcdf(lower, upper, μ, σ)

Steps:

  1. Press 2NDVARS to open DISTR
  2. Select 2: normalcdf(
  3. Enter: normalcdf(lower, upper, μ, σ)ENTER

IB examples:

QuestionEntryAnswer
P(X < 70), μ=65, σ=8normalcdf(-1E99, 70, 65, 8)0.7340
P(60 < X < 75), μ=65, σ=8normalcdf(60, 75, 65, 8)0.6731
P(X > 80), μ=65, σ=8normalcdf(80, 1E99, 65, 8)0.0304

Use -1E99 for negative infinity and 1E99 for positive infinity. Press 2ND, for the E key.

invNorm — finding a value from a probability

Finds the x-value where the cumulative probability equals p.

Syntax: invNorm(area, μ, σ)

Steps:

  1. Press 2NDVARS3: invNorm(
  2. Enter: invNorm(probability, μ, σ)ENTER

IB example: Find k such that P(X < k) = 0.90, where μ=65, σ=8. Entry: invNorm(0.90, 65, 8)75.25

invNorm always takes the left-tail area. If the question gives P(X > k) = 0.10, enter invNorm(0.90, 65, 8) — convert to left-tail first.

Binomial Distribution — binompdf and binomcdf

binompdf — exact probability P(X = k)

Syntax: binompdf(n, p, k)

Example: 10 trials, p = 0.3, find P(X = 4). binompdf(10, 0.3, 4)0.2001

binomcdf — cumulative probability P(X ≤ k)

Syntax: binomcdf(n, p, k)

Example: Same setup, find P(X ≤ 4). binomcdf(10, 0.3, 4)0.8497

For P(X ≥ k): use 1 - binomcdf(n, p, k-1) For P(X > k): use 1 - binomcdf(n, p, k)

Calculus Functions (AA only)

nDeriv — numerical derivative

Finds the approximate derivative of f(x) at a specific point.

Syntax: nDeriv(expression, X, value)

  1. Press MATH8: nDeriv(
  2. Enter: nDeriv(X²+3X, X, 2)ENTER
  3. Result: 7 (derivative of x²+3x at x=2 is 2(2)+3=7 ✓)

nDeriv gives a numerical approximation, not an exact symbolic answer. For IB Paper 2, this is acceptable. For Paper 1 (no calculator), you must show working.

fnInt — numerical integral (definite integral)

Finds the area under a curve between two bounds.

Syntax: fnInt(expression, X, lower, upper)

  1. Press MATH9: fnInt(
  2. Enter: fnInt(X²+1, X, 0, 3)ENTER
  3. Result: 12 (∫₀³ (x²+1)dx = [x³/3 + x]₀³ = 9+3 = 12 ✓)

Linear Regression (AI only)

See the full step-by-step guide: Linear Regression on TI-84

Quick steps for AI exams:

  1. Enter data: STAT1: Edit → L1 (x-values), L2 (y-values)
  2. Run: STATCALC4: LinReg(ax+b)
  3. Enable r and r²: Run DiagnosticOn from the CATALOG first (one-time setup)

IB AI output to know:

  • a = slope (gradient of regression line)
  • b = y-intercept
  • r = correlation coefficient (IB asks you to "comment on r")
  • = coefficient of determination

χ² Test for Independence (AI only)

Used when testing whether two categorical variables are independent.

Before you start: Enter your observed frequencies as a matrix.

  1. Press 2NDx⁻¹ to open MATRIX
  2. Arrow right to EDIT → select [A]
  3. Set matrix dimensions (rows × columns matching your contingency table)
  4. Enter observed frequencies
  5. Press STATTESTSC: χ²-Test
  6. Set Observed: [A], Expected: [B]
  7. Select CalculateENTER

Output:

  • χ² = test statistic
  • p = p-value — compare to significance level
  • df = degrees of freedom = (rows−1)(columns−1)

IB conclusion sentence:

"Since p = [value] < 0.05, we reject H₀. There is sufficient evidence that [variable 1] and [variable 2] are not independent."

Hypothesis Tests (AI HL and AA HL)

For T-Test and Z-Test step-by-step instructions, see: Hypothesis Testing on TI-84

For Confidence Intervals, see: Confidence Intervals on TI-84

GDC Exam Strategy for IB

What the IB expects from GDC use:

  • Show what you entered and what output you used — write normalcdf(-∞, 70, 65, 8) = 0.734 not just = 0.734
  • For regression, write the equation clearly: ŷ = 6.4x + 51.2
  • For hypothesis tests, always state H₀ and H₁ before calculating, and include p-value in your conclusion
  • Paper 2 / Paper 3 allow GDC — Paper 1 does not

Approved GDC for IB Math: The TI-84 Plus CE is approved for IB Math Papers 2 and 3 (both AA and AI). Confirm with your IB coordinator that no additional restrictions apply at your school.

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