AP Statistics Exam Calculator Functions

Flashcards for calculator functions on the AP Statistics exam.

1-Var Stats

To find mean, standard deviation, and 5 number summary for a data set.

1-Var Stats Input

Enter data in L1 and frequency in L2 if needed.

LinReg (a + bx)

To find the equation for a least squares regression line and to find r and r2.

LinReg (a + bx) Input

Enter values in L1 (explanatory) and L2 (response).

binompdf

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

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

To find area for an interval in a normal distribution.

normalcdf(lower, upper, mean, SD)

lower, upper, mean, SD

invNorm

To find a boundary value in a normal distribution.

invNorm(area left, mean, SD)

area left, mean, SD

tcdf

To find area for an interval in a t distribution.

tcdf(lower, upper, df)

lower, upper, df

invT

To find a boundary value in a t distribution.

invT(area left, df)

area left, df

𝝌𝟐cdf

To find area for an interval in a χ² distribution.

𝝌𝟐cdf(lower, upper, df)

lower, upper, df

1-PropZInt

To calculate a confidence interval to estimate a single proportion.

1-PropZInt Input

x: number of successes, n: sample size, C-Level: confidence level

2-PropZInt

To calculate a confidence interval to estimate a difference of proportions.

2-PropZInt Input

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

To calculate a confidence interval to estimate a single mean (population standard deviation unknown).

TInterval Input (Stats)

𝑥: sample mean, Sx: sample standard deviation, n: sample size, C-Level: confidence level

2-SampTInt

To calculate a confidence interval to estimate a difference of means (population standard deviations unknown).

2-SampTInt Input (Stats)

𝑥1: sample mean of sample 1, Sx1: standard deviation of sample 1, n1: sample size of sample 1, 𝑥2: sample mean of sample 2, Sx2: standard deviation of sample 2, n2: sample size of sample 2, C-Level: confidence level, Pooled: No

LinRegTInt

To calculate a confidence interval to estimate a slope.

LinRegTInt Input

Xlist: L1, Ylist: L2, Freq: 1, C-Level: confidence level

1-PropZTest

To test a claim made about a single proportion.

1-PropZTest Input

p0: null value, x: number of successes, n: sample size, Prop: ≠p0 po (alternative)

2-PropZTest

To test a claim made about a difference of proportions.

2-PropZTest Input

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

To test a claim made about a single mean (population standard deviation unknown).

T-Test Input (Stats)

𝜇#: null value, 𝑥: sample mean, Sx: sample standard deviation, n: sample size, 𝜇: ≠ 𝜇# < 𝜇# > 𝜇# (alternative)

2-SampTTest

To test a claim made about a difference of means (population standard deviations unknown).

2-SampTTest Input (Stats)

𝑥1: sample mean of sample 1, Sx1: standard deviation sample 1, n1: sample size of sample 1, 𝑥2: sample mean of sample 2, Sx2: standard deviation sample 2, n2: sample size of sample 2, µ1: ≠µ2

𝝌𝟐GOF–Test

To test a claim about the distribution of a categorical variable (Chi-square goodness-of-fit test).

𝝌𝟐GOF–Test Input

Enter observed counts in L1, enter expected counts in L2, df: degrees of freedom

𝝌𝟐–Test

To test a claim about the distribution of a categorical variable (Chi-square test of homogeneity/independence).

𝝌𝟐–Test Input

Enter observed counts in matrix A, expected counts appear in matrix B

LinRegTTest

To test a claim made about the slope of a population regression line.

LinRegTTest Input

Xlist: L1, Ylist: L2, Freq: 1, β: ≠0