degrees of freedom Flashcards
Kolmogorov-smirnoff test
n
n=no. of samples
F test (homogeneity of variance)
N(1) -1 and N(2)-1
n=sample size
poisson (chi squared)
n-2
n=no. of categories
chi-squared of homogeneity
n-1
n=no. of samples
chi-squared goodness of fit
n-1
n=no. of samples
chi-squared independence/association
(r-1)(c-1)
(r=no. of rows)
(c=no. of categories)
one sample t-test
compare sample mean with a known population mean
n-1
n=sample size
unpaired 2 sample t-test
comparing two means
N(1) + N(2) - 2
n=sample size
z test
1.96
paired t-test
n-1
n=sample size, i.e. no. of pairs
Mann Whitney
N(1) and N(2)
n=sample size
kruskall wallace
n-1
n=sample size
wilcoxon
n
no. of pairs
one way ANOVA
(a-1) , (n-a)
(a=no. of samples)
(n=total sample size)
two way ANOVA
factor 1: r-1
factor 2:c-1
interaction: (r-1)(c-1)
error: N-(r x c)