Statistical Hypothesis Testing with SAS and R

Index

F_n1;_n2

H₀

H₁

Φ(x)

α

α-quantile

χ² Goodness-of-fit test

χ²-test

variance (mean unknown)

variance (mean known)

χ_α;n²

x

|x|

fα_n1,_n2

n

t_α;n

z_α

 

Absolute value

Agreement

Alternative hypothesis

Anderson–Darling test

ANOVA

one-way

two-way

Ansari–Bradley test

 

Bartels' test

Bartlett test

Binomial k-sample test

Binomial test

Bowker's test

Brown–Forsythe test

 

Cohen's kappa

Continuity correction

Correlation coefficient

partial

Pearson's product moment

Spearman's rank

Spearman's rho

two correlation coefficients

Cramér–von Mises test

Critical region

 

Datasets

blood pressure

coin

crop

harvest

health

hospital infections

iq

malfunction

pvalues

silicosis

students

waiting

workpieces

datasets

David–Hartley–Pearson test

Distribution function

SAS

Dixon's tests

 

EDF

EDF tests

Empirical distribution function

Error

Type I

Type II

Exponential distribution

 

F-distribution

F-test

variance (two independent samples)

Fisher's exact test

Fisher–Irwin test

Freeman–Halton test

 

Goodness-of-fit test

χ²

Anderson–Darling

Cramér–von Mises

Jarque–Bera

Kolmogorov–Smirnov

Lilliefors normality

Shapiro–Wilk

Grubbs' test

 

Homogeneity

Homogeneity of variances

 

Independence

 

Jarque–Bera test

 

Kappa

Kolmogorov–Smirnov test

Kolmogorov–Smirnov two, sample test

Kruskal–Wallis rank-sum test

Kruskal–Wallis test

 

Large sample test on the odds ratio

Large sample test on the relative risk

Levene test

Likelihood-ratio χ²-test

Lilliefors test for normality

Linear regression

test on an individual regression coefficient ...