Spearmans Rank Hypothesis Testing For Ranks

Question 1

Why do we not use PMCC for rankings ins scores

Answer 1

REMEMBER FIRST RULE FOR PMCC TEST IS DATA MUST BE NORMALLY DISTRIBUTED . It is unlikely that ranked scores will be

2) not coming from a population, and even if it was not normally distributed

Thus can’t use PMCC, use spearman’s rank correlation coeffeicmt

Question 2

What can spearman’s rank cores,action coeffeicmt deal with that PMCC csn’t

Answer 2

1) SUBJECTIVE DATA (judge choices)
2) NUMERICAL DATA ( A, B C, D an be ranked but PMCC can’t)
3) NON LINEAR DATA

Question 3

How to rank big ti small small tk big

Answer 3

Whatever , but must be the same ranking for the both

Question 4

How to check answer for spearman’s rank lol

Answer 4

Do PMCC on the RANKS and it should be the same

Question 5

How to do spearman

Answer 5

Lit rank same way
Difference
Difference sqaured
Sum this up

Put into formual

Question 6

So what to interpret with spearman’s rank with a final number

Answer 6

Association, not correlation, and same way as PMCC

Question 7

WHAT TO DO IF RANKS ARE TIED

Answer 7

If they are tied, give them the AVERAGE OF THE TWO POSITIONS

So 5th and 6th, they both get 5.5

If 3 has the same, it would be 1st 2ns 3rd divide by 3, is 2

So they all get 2 as a score !

The next score is the thing after

Question 8

How to do

Answer 8

This case no row

So straight away start with null hypothesis which is THERE IS NO ASSOCIATION BETWEEN X AND Y

H1= some positive, some negative , or some ASSOCIATION

State critical value

Compare

Conclude.