The results of the National Health Examination Survey are:
High Cholesterol: 6634
Overweight: 8093
Both overweight and had high cholesterol: 4113
Sample size: 13 267
(C)
We need to calculate the probability that the person does not have high cholesterol. To do that, we need to find the probability that the person does have cholesterol, and then subtract this result from 1. Then:
P[not high cholesterol] = 1 - P[high cholesterol]
P[high cholesterol] = (# people that have high cholesterol) / (Total # of people)
P[not high cholesterol] = 1 - (6634) / (13 267) = 0.499962...
Rounding to four decimal places:
P[not high cholesterol] = 0.5000
(D)
Now, we need to calculate the probability that the person is overweight or has high cholesterol. We define the events:
A: The person has high cholesterol
B: The person is overweight
Then:
P[A ∪ B] = P[A] + P[B] - P[A ∩ B]
Where:
P[A] = 6634/13267
P[B] = 8093/13267
P[A ∩ B] = 4113/13267
Where we defined the probability as:
P[C] = (# of events C) / (# of total events)
Then:
P[A ∪ B] = 6634/13267 + 8093/13267 - 4113/13267 = (6634+8093-4113)/13267
P[A ∪ B] = 10614/13267
Rounding to four decimal places:
P[A ∪ B] = 0.8000