Question #57389

Candidate - Rank by Prof A - Rank by Prof B
1 6 5
2 10 11
3 2 6
4 1 3
5 5 4
6 11 12
7 4 2
8 3 1
9 7 7
10 12 10
11 9 8
12 8 9

What is the Spearman rank-correlation coefficient (rs)?

What is σrs?

What is the value of the test statistic z?

What is the p-value?

Using α = .02 what is your conclusion about how Professor A and Professor B rank the twelve students?
1

Expert's answer

2016-01-19T13:25:27-0500

Answer on Question #57389- Math - Statistics and Probability

Candidate - Rank by Prof A - Rank by Prof B


n=12n = 12

di=xiyid_{i} = x_{i} - y_{i} is the difference between ranks;


di2=1+1+16+4+1+1+4+4+0+4+1+1=38\sum d _ {i} ^ {2} = 1 + 1 + 1 6 + 4 + 1 + 1 + 4 + 4 + 0 + 4 + 1 + 1 = 3 8


Question

What is the Spearman rank-correlation coefficient (rs)?

Solution


rs=16di2n(n21)=163812(1221)=0.8671.r_s = 1 - \frac{6 \sum d_i^2}{n(n^2 - 1)} = 1 - \frac{6 \cdot 38}{12(12^2 - 1)} = 0.8671.


Answer: 0.8671.

Question

What is σs\sigma_s?

Solution


σrs=1121=0.3015\sigma_{rs} = \frac{1}{\sqrt{12 - 1}} = 0.3015


Answer: 0.3015.

Question

What is the value of the test statistic zz?

Solution


z=0.867100.3015=2.88z = \frac{0.8671 - 0}{0.3015} = 2.88


Answer: 2.88.

Question

What is the p-value?

Solution


pvalue=2(1P(z<2.88))=2(10.9980)=0.004p - value = 2(1 - P(z < 2.88)) = 2(1 - 0.9980) = 0.004


Answer: 0.004.

Question

Using α=.02\alpha = .02 what is your conclusion about how Professor A and Professor B rank the twelve students?

Solution

The null hypothesis: there is no association between the two variables.

P-value is less than α=.02\alpha = .02, thus we reject the null hypothesis that population rank-correlation coefficient is zero. There is significant rank-correlation between rank of the twelve students by Professor A and Professor B. If we set α=0.02\alpha = 0.02, achieving a statistically significant Spearman rank-order correlation means that we can be sure that there is less than a 2%2\% chance that the strength of the relationship we found (our coefficient) happened by chance if the null hypothesis were true.

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