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:
| Function | AA SL | AA HL | AI SL | AI 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:
- Press
2ND→VARSto open DISTR - Select 2: normalcdf(
- Enter:
normalcdf(lower, upper, μ, σ)→ENTER
IB examples:
| Question | Entry | Answer |
|---|---|---|
| P(X < 70), μ=65, σ=8 | normalcdf(-1E99, 70, 65, 8) | 0.7340 |
| P(60 < X < 75), μ=65, σ=8 | normalcdf(60, 75, 65, 8) | 0.6731 |
| P(X > 80), μ=65, σ=8 | normalcdf(80, 1E99, 65, 8) | 0.0304 |
Use
-1E99for negative infinity and1E99for positive infinity. Press2ND→,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:
- Press
2ND→VARS→ 3: invNorm( - 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
invNormalways takes the left-tail area. If the question gives P(X > k) = 0.10, enterinvNorm(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): use1 - 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)
- Press
MATH→ 8: nDeriv( - Enter:
nDeriv(X²+3X, X, 2)→ENTER - 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)
- Press
MATH→ 9: fnInt( - Enter:
fnInt(X²+1, X, 0, 3)→ENTER - 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:
- Enter data:
STAT→ 1: Edit → L1 (x-values), L2 (y-values) - Run:
STAT→ CALC → 4: LinReg(ax+b) - Enable r and r²: Run
DiagnosticOnfrom the CATALOG first (one-time setup)
IB AI output to know:
a= slope (gradient of regression line)b= y-interceptr= correlation coefficient (IB asks you to "comment on r")r²= 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.
- Press
2ND→x⁻¹to open MATRIX - Arrow right to EDIT → select [A]
- Set matrix dimensions (rows × columns matching your contingency table)
- Enter observed frequencies
- Press
STAT→ TESTS → C: χ²-Test - Set Observed:
[A], Expected:[B] - Select Calculate →
ENTER
Output:
χ² =test statisticp =p-value — compare to significance leveldf =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) = 0.734not 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.
Practice every function in this guide on the free TI-84 calculator.
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