Answer:
To find the coefficient of variation (CV) of a sample, we divide the standard deviation by the mean and multiply by 100 to get the percentage.
1. For the systolic sample:
•Find the mean:
mean = (116 + 130 + 157 + 94 + 155 + 122 + 115 + 138 + 124 + 122) / 10 = 130
•Find the standard deviation:
sum = (116 - 130)^2 + (130 - 130)^2 + (157 - 130)^2 + (94 - 130)^2 + (155 - 130)^2 + (122 - 130)^2 + (115 - 130)^2 + (138 - 130)^2 + (124 - 130)^2 + (122 - 130)^2
sum = 165.4
std = sqrt(sum/9) = 7.3
•Calculate the coefficient of variation:
CV = (std / mean) × 100 = (7.3 / 130) × 100 = 5.62%
2. For the diastolic sample:
•Find the mean:
mean = (82 + 78 + 74 + 51 + 89 + 88 + 56 + 63 + 72 + 83) / 10 = 72.5
•Find the standard deviation:
sum = (82 - 72.5)^2 + (78 - 72.5)^2 + (74 - 72.5)^2 + (51 - 72.5)^2 + (89 - 72.5)^2 + (88 - 72.5)^2 + (56 - 72.5)^2 + (63 - 72.5)^2 + (72 - 72.5)^2 + (83 - 72.5)^2
sum = 624.75
std = sqrt(sum/9) = 12.24
•Calculate the coefficient of variation:
CV = (std / mean) × 100 = (12.24 / 72.5) × 100 = 16.82%
So the CV for systolic is 5.62% and the CV for diastolic is 16.82%. We can see that the diastolic measurement has higher variation than the systolic measurement.