Hello everybody.
I'm looking for the best test to find an association between two variables:
- a test score (continuous, ranging from 0 to 100);
- a yes or no binary variable (like, for instance, being clever or not)
Variables are not normally distributed and their relation is not linear (nor a common curve). So I'll go with nonparametric statistics.
Could you suggest me the best statistics to analyze this case?
I was planning to use all of these:
- Goodman lambda (since one variable is nominal, otherwise would have used Goodman gamma);
- Chi square (for test scores I also have the ordinal version - low, medium, high);
- rank biserial correlation;
- U mann Whitney.
What do you think?
Can I use U mann Whitney? If not because one variable is nominal, what can replace it?
Thanks a lot for all your help!
I'm looking for the best test to find an association between two variables:
- a test score (continuous, ranging from 0 to 100);
- a yes or no binary variable (like, for instance, being clever or not)
Variables are not normally distributed and their relation is not linear (nor a common curve). So I'll go with nonparametric statistics.
Could you suggest me the best statistics to analyze this case?
I was planning to use all of these:
- Goodman lambda (since one variable is nominal, otherwise would have used Goodman gamma);
- Chi square (for test scores I also have the ordinal version - low, medium, high);
- rank biserial correlation;
- U mann Whitney.
What do you think?
Can I use U mann Whitney? If not because one variable is nominal, what can replace it?
Thanks a lot for all your help!