Calculator Functions for the AP Stats Exam - One and Two Variable Data - Probability, Confidence Intervals, and Significance Tests

Sep 30, 2026

Calculator functions for the AP Statistics exam are organized by task: one-variable statistics, two-variable linear regression diagnostics, probability calculations for binomial and normal/t distributions, confidence-interval tools for proportions, means, and slopes, and significance tests for single or two-parameter hypotheses. Each section provides when to use the function and the exact input command structure, including required parameters such as n, p, x, means, standard deviations, degrees of freedom, and confidence levels.

LanguageEnglish

CategoryExam

FormatPDF

Pages4

Reading Time10 min

AccessFree to download

One Variable Data

Two Variable Data

Probability Calculations

Confidence Intervals

Significance Tests

Calculator Functions for the AP Stats Exam One Variable Data | Function | When to use it | Input Command | | --- | --- | --- | | 1-Var Stats | To find mean, standard | Enter data in L 1 and frequency in L2 if | | (STAT, CALC) | deviation, and 5 number summary for a data set. | needed
1-Var Stats L 1 or 1-Var Stats L 1 , L2 | Two Variable Data | Function | When to use it | Input Command | | --- | --- | --- | | LinReg (a + bx)
(STAT, CALC) DiagnosticOn | To find the equation for a | Enter values in L 1 (explanatory) | | | least squares regression | Enter values in L2 (response) | | | line. To find r and r2. | Lin Reg (a + bx) L 1 , L2 | Probability Calculations | Function | When to use it | Input Command | | --- | --- | --- | | binompdf
(2nd, VARS, DISTR) | To find the probability of getting exactly X successes in a binomial setting. | binompdf(n, p, X)
n: number of trials
p: probability of success
X: number of successes | | binomcdf
(2nd, VARS, DISTR) | To find the probability of getting at most X successes in a binomial setting. | binomcdf(n, p, X)
n: number of trials
p: probability of success
X: number of successes | | normalcdf
(2nd, VARS, DISTR) | To find area for an interval in a normal distribution. | normalcdf(lower, upper, mean, SD) | | invNorm
(2nd, VARS, DISTR) | To find a boundary value ina normal distribution. | inv Norm ( area left , mean, SD) | | tcdf
(2nd, VARS, DISTR) | To find area for an interval in a t distribution. | tcdf(lower, upper, df) | | invT
(2nd, VARS, DISTR) | To find a boundary value ina t distribution. | invT ( area left , df) | | 􀀡 ! cdf
(2nd, VARS, DISTR) | To find area for an interval in a 􀀡 ! distribution. | 􀀢􀀢 cdf(lower, upper, df) | Confidence Intervals | Function | When to use it | Input Command | | --- | --- | --- | | 1-PropZInt
(STAT, TESTS, A: ) | To calculate a confidence interval to estimate a single proportion. | 1-PropZInt
x: number of successes
n: sample size
C-Level: confidence level | | 2-PropZInt
(STAT, TESTS, B: ) | To calculate a confidence interval to estimate a difference of proportions. | 2-PropZInt
x1: number of successes in sample 1
n1: sample size of sample 1
x2: number of successes in sample 2
n2: sample size of sample 2
C-Level: confidence level | | TInterval
(STAT, TESTS, 8: ) | To calculate a confidence interval to estimate a single mean.
Standard deviation of the population is unknown. | TInterval
Inpt: Stats
􀀣̅: sample mean
Sx: sample standard deviation n: sample size
C-Level: confidence level | | 2-SampTInt
(STAT, TESTS, 0 : ) | To calculate a confidence interval to estimate a difference of means.
Standard deviation of the populations unknown. | 2-SampTInt
Inpt: Stats
􀀣̅1: sample mean of sample 1
Sx1: standard deviation of sample 1
n1: sample size of sample 1
􀀣̅2: sample mean of sample 2
Sx2: standard deviation of sample 2
n2: sample size of sample 2
C-Level: confidence level
Pooled: No | | LinRegTInt
(STAT, TESTS, G: )
*only newer calculators have this command* | To calculate a confidence interval to estimate a slope. | Lin RegTInt
Enter values in L 1 (explanatory) Enter values in L2 ( response) Xlist: L 1
Ylist: L2
Freq: 1
C-Level: confidence level | Significance Tests | Function | When to use it | Input Command | | --- | --- | --- | | 1-PropZTest
(STAT, TESTS, 5: ) | To test a claim made about a single proportion. | 1-PropZTest
p0 : null value
x: number of successes
n: sample size
Prop: ≠p0 po (alternative) | | 2-PropZTest
(STAT, TESTS, 6 : ) | To test a claim made about a difference of proportions. | 2-PropZTest
x1: number of successes sample 1
n1: sample size of sample 1
x2: number of successes sample 2
n2: sample size of sample 2
p1: ≠ p2 p2 (alternative) | | T-Test
(STAT, TESTS, 2 : ) | To test a claim made about a single mean
Standard deviation

FAQs

Which calculator command finds one-variable summary statistics for AP Stats?

Use 1-Var Stats. Enter the data in L1 and (if needed) enter frequencies in L2, then review the mean, standard deviation, and five-number summary.

How do you compute a two-variable least-squares regression line with this calculator?

Use LinReg (a + bx) (STAT, CALC) DiagnosticOn. Enter explanatory values in L1 and response values in L2, then run Lin Reg (a + bx) L1, L2 to obtain the regression equation and r and r2.

What functions are used to build confidence intervals in AP Stats?

Use 1-PropZInt or 2-PropZInt for proportion intervals, TInterval for a single mean (when population standard deviation is unknown), 2-SampTInt for a difference of means, and LinRegTInt for a slope confidence interval (newer calculators).

Which commands perform hypothesis significance tests for proportions, means, and categorical data?

Use 1-PropZTest or 2-PropZTest for proportion tests, T-Test or 2-SampTTest for tests about single means or differences of means, and GOF–Test or χ²–Test (shown as 􀀡 !–Test) for goodness-of-fit and independence/homogeneity with categorical variables.

Sep 30, 2026

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