You are thinking about wether or not an athletes finish in a race is related to how much protein they ate in their last meal before they performed. You collect information from 10 people and get the following data. “FIN” is where they finished in the race and “PROT” is the number of grams of protein in the last meal.
Person | FIN | PROT | + - |
RANK FIN |
RANK PROT |
D | D2 |
1 | 18 | 85 | + | 6 | 10 | -4 | 16 |
2 | 28 | 59 | + | 8 | 5 | 3 | 9 |
3 | 8 | 33 | + | 4 | 2 | 2 | 4 |
4 | 11 | 62 | + | 5 | 6 | -1 | 1 |
5 | 22 | 85 | + | 7 | 8 | -1 | 1 |
6 | 7 | 52 | + | 3 | 4 | -1 | 1 |
7 | 29 | 76 | + | 9 | 7 | 2 | 4 |
8 | 3 | 50 | + | 1 | 3 | -2 | 4 |
9 | 34 | 86 | + | 10 | 9 | 1 | 1 |
10 | 5 | 21 | + | 2 | 1 | 1 | 1 |
SUM | 165 | 619 | 55 | 55 | 0 | 42 | |
St Dev | 11.23 | 23.96 | 3.03 | 3.03 | 2.16 | 4.87 |
What is ΣD? What is ΣD2 ? What is N? What is rs ? Describe this correlation in a sentence:
1) Summation of D = 0 , D is the difference between the ranks of an individual
2) summation of D^2 =42 , D^2 is the difference between the ranks given to an individual squared .
3)N= total no. Of people = 10 ( N is the number of people who are ranked)
4) Spearman correlation -> 1 - 6(sum(D^2))/n(n^2 - 1)
1 - 6×42/10×99 = 1 - 0.2545= 0.7455
So rank correlation is 0.7455
This indicates a strong positive relationship between the ranks individuals obtained in the race finish and protein . That is, the higher you ranked in protien the higher you ranked in race also, and vice versa
Get Answers For Free
Most questions answered within 1 hours.