AP Stats Exam Calculator Functions Review

find probability of getting exact X successes in binomial setting

binompdf (n,p,x)

n = # trials p = probability of successes x = number of successes

find mean, standard deviation, and 5 # summary for a data set

1-Var Stats

L1 = data

L2 = frequency

find equation for a least squares regression line (r and r²)

LinReg (a+bx)

L1 = explanatory

L2 = response

find probability of getting at most X successes in binomial setting

binomcdf(n,p,x)

n = # trials p = probability of successes x = number of successes

find area for an interval in normal distribution

normalcdf (lower, upper, mean, SD)

find boundary value in a normal distribution

invNORM (area, mean, SD)

find area for an interval in t distribution

tcdf (lower, upper, df)

find boundary value in t distribution

invT (area, df)

find area for interval in a X² distribution (chi-squared)

X²cdf(lower, upper, df)

calculate confidence interval to estimate single proportion

1-PropZInt

x = number of successes

n = sample size

C-level = confidence level

calculate confidence interval to estimate a difference of proportions

2-PropZInt

x = number of successes

n = sample size

C-level = confidence level

for both samples (1&2)

calculate a confidence interval to estimate a single mean (standard deviation of populations unknown)

TInterval

inpt = stats

use sample information (sample mean, sample sd, sample size, c-level)

calculate confidence interval to estimate difference of means (standard deviation of populations unknown)

2-SampleTInt

inpt = stats

sample information for both samples

pooled = no

calculate confidence interval to estimate a slope

LinRegTInt

L1 = explanatory

L2 = response

Xlist = L1, Ylist = L2, Freq = 1

test a claim made about a single proportion

1-PropZTest

P0 = null value

x = number of successes

n = sample size

test a claim made about difference of proportions

2-PropZTest

data for samples 1 and 2

test a claim made about a single mean (standard deviation of population is unknown)

T-Test

inpt = stats

use sample’s data

test a claim made about a difference of means (standard deviation of populations unknown)

2-SampleTTest

inpt = stats

use samples’ data

pooled = no

test claim about distribution of categorical variable (1)

X²GOF-Test

L1 = observed

L2 = expected

df

test claim about distribution of categorical variable (2+)

X²-Test (for homogeneity or independence=association)

Observed = [A]

Expected = [B]

test claim about slope of a population regression line

LinRegTTest

L1 = explanatory = Xlist

L2 = response = Ylist

Freq = 1