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Statistical Hypothesis Testing with SAS and R by Dirk Taeger, Sonja Kuhnt

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Index

Fn1;n2

H0

H1

Φ(x)

α

α-quantile

χ2 Goodness-of-fit test

χ2-test

variance (mean unknown)
variance (mean known)
χα;n2
x
|x|

fαn1,n2

n
tα;n
zα

 

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 ...

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