Bioequivalence and Bioavailability Forum

dear shri !

The most important things regarding selection of a statistical tests is to

1. define the null and the alternative hypothesis
   
2. define your type I error
   
3. define an adequate measure for the treatment effect(s) as confidence intervals are much more informative than plain p-values

and not looking for a test suitable for a given spreadsheet

hope this helps

Martin

PS.: on the assumption that your null hypothesis is no treatment effect on your variable (which have to be defined exactly such as median score, proportions per score, etc. ) you may have the following alternatives

• treatment arms are different
  
• pairwise comparisons of treatments which results in a multiplicity problem
  
• in case of a natural order of your treatment (e.g. dose levels) you may interested in the alternative of an increase/decrase as dose increase
  
• you may have a dose-finding problem; ie. selection of the lowest / highest dose which differs from your control treatment which can be formulated as a sequence of hypothesis testing problems
  
• etc. etc.

there is also the other way round in the case that you want to show non-inferiority or equivalence between two or more treatment arms (e.g. identification of the maximum safe dose).

as you can see it is very important that you are able to define your null and your alternative hypothesis.