help understand which test for which situation (stat, anova, chi etc)

[peter90036]

i cant understand + remember what test to pick for what situation
anova, chisquare, matched pairs, t tests, etc

do you have an outline with examples that helps understand all this?

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[It'sElectric]

t-test: compares 2 means
ANOVA: compares 3 or more means
Chi Square: compares percentages/proportions rather than actual means

 

[Instatewaiter]

what he said ^

 

[Helo]

d

 

[luhando]

t-test: compares 2 means
ANOVA: compares 3 or more means
Chi Square: compares percentages/proportions rather than actual means

the important logical step in differentiating chi-square from the other two is that chi-square deals with qualitative variables (ie disease or no disease) while the other 2 deal with quantitative variables (ie mean BMI).

 

[It'sElectric]

the important logical step in differentiating chi-square from the other two is that chi-square deals with qualitative variables (ie disease or no disease) while the other 2 deal with quantitative variables (ie mean BMI).

You're correct, but I'm just trying to make it as basic and to the point as possible - which is pretty much how I'm guessing any question on Step 1 referencing either of those 3 items would be. I think "mean" is the opportune word that should set off a red flag in your brain differentiating t-test/anova from chi square.

 

[45408]

t-test: compares 2 means
ANOVA: compares 3 or more means
Chi Square: compares percentages/proportions rather than actual means

and the chi-square looks like a % sign to me, so that's how I know what it's for

 

[peter90036]

the important logical step in differentiating chi-square from the other two is that chi-square deals with qualitative variables (ie disease or no disease) while the other 2 deal with quantitative variables (ie mean BMI).

thanks, this is the stuff i'm looking for

 

[luhando]

You're correct, but I'm just trying to make it as basic and to the point as possible - which is pretty much how I'm guessing any question on Step 1 referencing either of those 3 items would be. I think "mean" is the opportune word that should set off a red flag in your brain differentiating t-test/anova from chi square.

haha...most def.

just trying to add to your wisdom