wilxocon rank sum test
sample 1 | sample 2 | rank for sample 1 | rank for sample 2 |
85 | 71 | 20.5 | 9.5 |
79 | 74 | 15.5 | 11 |
89 | 92 | 23 | 25 |
62 | 60 | 3 | 1.5 |
76 | 83 | 12 | 18 |
79 | 60 | 15.5 | 1.5 |
83 | 67 | 18 | 7 |
98 | 95 | 28 | 26 |
77 | 83 | 13.5 | 18 |
71 | 77 | 9.5 | 13.5 |
90 | 103 | 24 | 29 |
85 | 86 | 20.5 | 22 |
70 | 64 | 8 | 5.5 |
96 | 63 | 27 | 4 |
64 | 107 | 5.5 | 30 |
H0: The two samples come from population with equal medians.
H1: The medium lead level population has a higher median IQ than the high lead level population.
sample 1
sample size , n1 = 15
sum of ranks , R1 = 243.5
sample 2
sample size , n2 = 15
sum of ranks , R2 = 221.5
R=sum of ranks for smaller sample size =
243.5
mean ,µ = n1(n1+n2+1)/2 = 232.5
std dev,σ = √(n1*n2*(n1+n2+1)/12) =
24.1091
Z-stat = (R - µ)/σ =
0.47
P-value = 0.6759
P-value>α , fail to reject null
hypothesis
fail to rejejct Ho, There is insufficient evidence to support the
claim that subject with median lead levels have full IQ score with
a higher median than subjects with high lead levels
It doesn't appear that lead level effects full IQ scores as there is insufficient evidence.to support the claim
The IQ scores for a random sample of subjects with mediu lead levels in their blood and another r...
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