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Author Question: In determining the Spearmans rank correlation coefficient, what is done if multiple observations ... (Read 158 times)

allihubbard

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Question 1

In a Kruskal–Wallis test, the null hypothesis is always that:

\(\style{font-family:Times New Roman;}{{\overset˜\mu}_1-{\overset˜\mu}_2=\Delta_{\text{o}}}\).


\(\style{font-family:Times New Roman;}{\overset˜\mu={\overset˜\mu}_0}\).


the sequence of observations is random.


theksamples are from identical populations.



Question 2

In determining the Spearman’s rank correlation coefficient, what is done if multiple observations within either variable have the same value?

As the data are assumed to be from continuous distributions, this will never happen.


The observations are ignored and the sample size adjusted accordingly.


The observations are given the mean rank of their positions in the ordered list.


The observations are arbitrarily assigned a rank in sequence.



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Marked as best answer by allihubbard on Feb 26, 2023

mllong

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allihubbard

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Reply 2 on: Feb 26, 2023
Wow, this really help


adf223

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Reply 3 on: Yesterday
Great answer, keep it coming :)

 

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