Here is a decision chart to pick your test 

 Table of contents:

	Type	Samples	Sample type	Test	Askia
A	Mean	2	Independent	T-test	Significance (Numeric)
B	Mean	2	Paired	Paired T-Test	Col significativity on Numeric
C	Mean	2	Paired	Wilcoxon rank test	Col significativity on Numeric
D	Mean	3	Independent	Anova With One Way	Col significativity on Numeric
E	Mean	2	Paired	Anova With Random subject	Col significativity on Numeric
F	Proportion	2	Independent	Z-test for proportions	Col significativity on closed
G	Proportion	2	Independent	Khi²	Significance (Closed)
I	Proportion	3	Independent	Khi² + Marscuilo post-hoc	Significance (Closed)
J	Proportion	3	Independent	Khi² + Cochran adjustment	Col on Col Sig (Closed)

 

A- Significance (Numeric) (T-test)

A

Mean

2

Independent

T-test

Significance (Numeric)

 

 

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B- Col significativity on Numeric  (Paired  T-test) 

B

Mean

2

Paired

Paired T-Test

Col significativity on Numeric

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 C- Col significativity on Numeric  (Wilcoxon rank test)

C

Mean

2

Paired

Wilcoxon rank test

Col significativity on Numeric

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D-Col significativity on Numeric  (Anova One Way + Tuckey HSD test)

D

Mean

3

Independent

Anova With One Way

Col significativity on Numeric

 

 

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E-Col significativity on Numeric  (Anova with Random Subject)

 

E

Mean

2

Paired

Anova With Random subject

Col significativity on Numeric

 

 

 

 

 

 

 

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E-Col significativity on closed  (Z_test for proportions)

F

Proportion

2

Independent

Z-test for proportions

Col significativity on closed

 

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G-Signficance (Closed)  (Khi²)

G

Proportion

2 and +

Independent

Khi²

Significance (Closed)

 

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I-Signficance (Closed)  (Khi² + Marscuilo post-hoc)

I

Proportion

3

Independent

Khi² + Marscuilo post-hoc

Significance (Closed)

 

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J-Col on Col Sig (Closed)  (Khi²+ Cochran adjustment)

J

Proportion

3

Independent

Khi² + Cochran adjustment

Col on Col Sig (Closed)

With the Cochran–Mantel–Haenszel (CMH) test adjustment

Which allows the comparison of two groups on a dichotomous/categorical response. It is used when the effect of the explanatory variable on the response variable is influenced by covariates that can be controlled. It is often used in observational studies where random assignment of subjects to different treatments cannot be controlled, but influencing covariates can.