Thank you - your explanation was completely clear and fresh, even though my brain feels utterly tired!
@patrickwise62974 жыл бұрын
Thank you - very helpful. Note, though the "14" width should have rank 7 and the "18" width should have rank 6 in the first Sunflower example.
@amantaybilash94954 жыл бұрын
Very good explanations. Thanks for sharing!
@sergio74703 жыл бұрын
Thank you for the clear explanation and getting to the point.
@AnnaelleD4 жыл бұрын
Whoua! Great video. Thank you very much.
@hopestreet34524 жыл бұрын
Really clear explanation - thank you :)
@Dark6In6The6Eyes3 жыл бұрын
Thank you, this was very clear.
@abishrantasaikia23933 жыл бұрын
Thank you so much. It was very helpful.
@Memzii Жыл бұрын
Thank you!
@kimballclark1392 Жыл бұрын
When there are repeated values I find a different formula where the D^2 gets terms added for each repeated value a 1/2(value^3 -value). For each value that is repeated a term is added to the numerator. Can you explain why your formula is different?
@tanoysaha92434 жыл бұрын
Can it be computed for all quantitative variables??
@emmanuelbanda71234 жыл бұрын
Nice
@najlaelhachem91594 жыл бұрын
Hi, thanks for these explanations. It's is very clear. I have two questions: First, would it be possible to use spearman's rank correlation with different rank numbers (eg: 7 ranks for the height and 10 for the width)?. Second, would it be possible to use the formula by ranking pvalues? Thanks plenty, Najla
@archidar14 жыл бұрын
1. I dont think that would be well defined. We cant even apply Pearsons correlation to unmatched data. I.e. it doesnt make sense to compare two data sets of different length. An extreme example is to compare 1 data value against no data value (e.g. height 1.7m, weight unknown). 2. Depends on whether the p-values are comparable. Some argue that p-values should only be seen as binary, either being greater than or less than the level of significance, and that the value of p-values should be ignored.
@studywithlee1483 Жыл бұрын
Thanks a lot I’m regretting taking geography tho lol