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Which test to use? Short advises for a proper choice. 2*2-table CHI 2 Binomial. Frequencies Ranges , Ranks. Serial correlation Dispersion, CV Fourier analysis. Mean, Mode Variance, Skewness Distribution. CHI 2 , t-test. Binomial, CHI 2 K-S test. Binomial Sign-test. Yes. ANOVA. GLM. - PowerPoint PPT Presentation
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Nicolaus Copernicus University – Department of Animal Ecology
Which test to use? Short advises for a proper choice
Datamatrix
Handling one variable
Handling two variables
Hypothesisabout mean
Mean, ModeVariance, Skewness
Distribution
What todo
Hypothesisabout distribution
CHI2, t-testBinomial, CHI2
K-S test
Descriptivestatistics
What todo
Comparingmeans
Regression
Comparingvariances
Logisticregression
Errors normally distributed?
Wilcoxonmatched pairs test
Samplesindependent
Samplesindependent
t-testF-test
Dependent samples t-test
U-test
Metrics?Linear
relations?
Non-linearregression
Linear regression
Linearization
GLM
Pearsonleast squares
SpearmanKendall
Correspondenceanalysis
Non-linearregression
Multipleregression
Cluster analysis
Factor analysis
Metrics of one dependent
variable
Metricsof independent
variables?
Metrics of independent
Variables?
F-test
Not metrical
Metrical
Not metrical
What to do?
Metrical
Logisticregression
Discriminant analysis
Yes
GLM
Linearization No
Yes
Yes
No
Metrical
Not metrical
No
No
NoYes
Yes
Metrical
One variable bivariate
BinomialSign-test
Test forrandomness
Metrics
Metrical
Time seriesanalysis
Serial correlationDispersion, CVFourier analysis
Descripitvestatistics
FrequenciesRanges, Ranks
Not metrical
What todo
Hypothesisabout distribution
2*2-table CHI2
Binomial
Yes
NoYes No
Yes No
Zero or severaldependent variables
Multipleresponse
permutation
GLM
No dependent
variable
Severaldependentvariables
No. clusters given
No
Yes
Yes
No
GLM
MixedANCOVA
ANOVA
Kruskal - Wallistest
Metrics ofdependentvariables
Hotelling T2
Canonicalregression
Non-metricmultivariate
scaling
Metrical
What to do?
Multivariatecorrespondence
analysis
Mantel test
Regression
Grouping
Comparingmatrices
Variance test
Commonvariablility
Grouping
Poweranalysis
Idea how toanalyze data
GLM
CANOCOYes
No
Indicator analysis
TWINSPAN
Dufrene –Legendre test
K-meanscluster analysis
What to do?
Non-parametric
Parametric
Not metricalor mixed
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