AP Statistics Exam Calculator Functions Flashcards

Flashcards for AP Statistics exam calculator functions

1-Var Stats

Used to find mean, standard deviation, and 5 number summary for a data set. Input data in L₁ and frequency in L₂ if needed. Command: 1-Var Stats L₁ or 1-Var Stats L1,L2

LinReg (a + bx)

Used to find the equation for a least squares regression line and to find r and r². Enter values in L₁ (explanatory) and L2 (response). Command: LinReg (a + bx) L1,L2

binompdf

Used to find the probability of getting exactly X successes in a binomial setting. Command: binompdf(n, p, X), where n is the number of trials, p is the probability of success, and X is the number of successes.

binomcdf

Used to find the probability of getting at most X successes in a binomial setting. Command: binomcdf(n, p, X), where n is the number of trials, p is the probability of success, and X is the number of successes.

normalcdf

Used to find area for an interval in a normal distribution. Command: normalcdf(lower, upper, mean, SD)

invNorm

Used to find a boundary value in a normal distribution. Command: invNorm(area left, mean, SD)

tcdf

Used to find area for an interval in a t distribution. Command: tcdf(lower, upper, df)

invT

Used to find a boundary value in a t distribution. Command: invT(area left, df)

x²cdf

Used to find area for an interval in a x² distribution. Command: x² cdf(lower, upper, df)

1-PropZInt

Used to calculate a confidence interval to estimate a single proportion. Command: 1-PropZInt with inputs x: number of successes, n: sample size, and C-Level: confidence level.

2-PropZInt

Used to calculate a confidence interval to estimate a difference of proportions. Command: 2-PropZint with inputs 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

Used to calculate a confidence interval to estimate a single mean when the population standard deviation is unknown. Input: Stats, x: sample mean, Sx: sample standard deviation, n: sample size, C-Level: confidence level

2-SampTint

Used to calculate a confidence interval to estimate a difference of means when the population standard deviations are unknown. 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

Used to calculate a confidence interval to estimate a slope. Enter values in L₁ (explanatory) and L2 (response). Xlist: L₁, Ylist: L₂, Freq: 1, C-Level: confidence level

1-PropZTest

Used to test a claim made about a single proportion. Command: 1-PropZTest with inputs po: null value, x: number of successes, n: sample size, Prop: #po po (alternative)

2-PropZTest

Used to test a claim made about a difference of proportions. Command: 2-PropZTest with inputs 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

Used to test a claim made about a single mean when the population standard deviation is unknown. Input: Stats, Mo: null value, x: sample mean, Sx: sample standard deviation, n: sample size, μ: μo

2-SampTTest

Used to test a claim made about a difference of means when the population standard deviations are unknown. 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

x²GOF-Test

Used to test a claim about the distribution of a categorical variable (Chi square goodness-of-fit test). Enter observed counts in L₁ and expected counts in L₂. Observed: L₁, Expected: L2, df: degrees of freedom.

x²-Test

Used to test a claim about the distribution of a categorical variable (Chi square test of homogeneity or independence). Enter observed counts in matrix A. Observed: [A], Expected: [B]. Expected counts appear in matrix B

LinRegTTest

Used to test a claim made about the slope of a population regression line. Enter values in L₁ (explanatory) and L2 (response). Xlist: L₁, Ylist: L2, Freq: 1, B: 0