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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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on: Feb 26, 2023

Question 1

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

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


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


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the sequence of observations is random.


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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?

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


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The observations are ignored and the sample size adjusted accordingly.


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


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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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Reply #1 on: Feb 26, 2023
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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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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