AP Stat Calculator Functions

1-Variable Stats

(STAT, CALC)
Enter data in L1 and frequency in L2

To find:

• mean

• standard deviation

• 5 number summary for a data set

LinReg (a + bx)

(STAT, CALC)
Enter explanatory values in L1
Enter response values in L2

To find:

• equation for a least squares regression line

• r and r²

binompdf

(2nd, VARS, DISTR)
(n, p, X)
n: number of trials
p: probability of success
X: number of successes

To find the probability of getting EXACTLY X successes in a binomial setting

binomcdf

(2nd, VARS, DISTR)
(n,p,x)
n: number of trials
p: probability of success
X: number of successes

To find the probability of getting AT MOST X successes in a binomial setting

normalcdf

(2nd, VARS, DISTR)
normalcdf(lower, upper, mean, SD)

To find the area of an interval in a normal distribution

invNorm

(2nd, VARS, DISTR)
invNorm(area left, mean, SD)

To find a boundary value in a normal distribution

tcdf

(2nd, VARS, DISTR)
tcdf (lower, upper, df)

To find area for an interval in a t distribution

invT

(2nd, VARS, DISTR)
invT (area left, df)

To find a boundary value in a t distribution

x² cdf

(2nd, VARS, DISTR)
x²cdf(lower, upper, df)

To find area for an interval in a x² distribution

1-PropZInt

(STAT, TESTS, A:)
x: number of successes
n: sample size
C-Level: Confidence level

To calculate a confidence interval to estimate a single proportion

2-PropZInt

(STAT, TESTS, B:)
x1: number of successes in sample 1
n1: sample size of sample 1
×2: number of successes in sample 2
n2: sample size of sample 2
C-Level: Confidence level

To calculate a confidence interval to estimate a difference of proportions

TInterval

(STAT, TESTS, 8:)
x bar: sample mean
Sx: sample standard deviation
n: sample size
C-Level: Confidence level

To calculate a confidence interval to estimate a single mean (population SD is unknown)

2-SampTInt

(STAT, TESTS, 0:)
xbar 1: sample mean of sample 1
Sx1: standard deviation of sample 1
n1: sample size of sample 1
xbar 2: sample mean of sample 2
Sx2: standard deviation of sample 2
n2: sample size of sample 2
C-Level: confidence level
Pooled: No

To calculate a confidence interval to estimate a difference of means. (population SD is unknown)

LinRegTInt

(STAT, TESTS, G:)
Enter explanatory values in L1
Enter response values in L2
Xlist: L1
Ylist: L2
Freq: 1
C-level: confidence level

To calculate a confidence interval to estimate a slope

1-PropZTest

(STAT, TESTS, 5:)
p0: null value
x: number of successes
n: sample size
Prop: does not equal p0, <p0, >p0 (alternative)

To test a claim made about a single proportion

2-PropZTest

(STAT, TESTS, 6:)
x1: number of successes sample 1
n1: sample size of sample 1
×2: number of successes sample 2
n2: sample size of sample 2
p1: does not equal p2, <p2, >p2 (alternative)

To test a claim made about a difference of proportions

T-Test

(STAT, TESTS, 2:)
mu 0: null value
xbar: sample mean
Sx: sample standard deviation
n: sample size
mu: does not equal mu 0, <mu 0, >mu 0 (alternative)

To test a claim made about a single mean (population SD is unknown)

2-Samp Test

(STAT, TESTS, 4:)
xbar 1: sample mean of sample 1
Sx1: standard deviation sample 1
n1: sample size of sample 1
xbar 2: sample mean of sample 2
Sx2: standard deviation sample 2
n2: sample size of sample 2
mu 1: does not equal mu 2, <mu 2, >mu 2 (alternative)
Pooled: No

To test a claim made about a difference of means (population SD unknown)

X² GOF Test

(STAT, TESTS, D:)
Enter observed counts in L1
Enter expected counts in L2
Observed: L1
Expected: L2
df: degrees of freedom

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

X² Test

(STAT, TESTS, C:)
Enter observed counts in matrix A
Enter expected counts in matrix B
Observed: [A]
Expected: [B]

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

LinReg TTest

(STAT, TESTS, E:)
Enter exploratory values in L1
Enter response values in L2
Xlist: L1
Ylist: L2
Freq: 1
B: does not equal 0, <0, >0 (alternative)

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