As a statistician, just want to comment on why always use at least 8 subjects. 8 is considered the minimum number for testing normality (please notice the parametric t test assumes normality) and a lot of times, 8 is considered the minimum number worth running a regression.
Can you please explain this point further? Does this also hold for non-parametric tests as well such as cluster-based permutation test commonly used in the multivariate analysis realm?
Absolutely love these videos, looking forward to more bootcamps or workshops being put up. One unrelated question I have is why the audio keeps cutting off throughout these videos, and not in particular to this one but for most of the videos from this channel? Makes understanding some of what Rebecca is saying difficult.
As a statistician, just want to comment on why always use at least 8 subjects. 8 is considered the minimum number for testing normality (please notice the parametric t test assumes normality) and a lot of times, 8 is considered the minimum number worth running a regression.
Can you please explain this point further? Does this also hold for non-parametric tests as well such as cluster-based permutation test commonly used in the multivariate analysis realm?
Absolutely love these videos, looking forward to more bootcamps or workshops being put up. One unrelated question I have is why the audio keeps cutting off throughout these videos, and not in particular to this one but for most of the videos from this channel? Makes understanding some of what Rebecca is saying difficult.
Amazing lecture, thank you!!
Wonderful