In: Statistics and Probability
A study of high blood pressure and smoking found the following: Smoker Nonsmoker Normal blood pressure 360 1000 High blood pressure 240 200 Are high blood pressure and smoking independent?
Smoker | Non-Smoker | Total | |
Normal Blood Pressure | 360 | 1000 | 1360 |
High Blood Pressure | 240 | 200 | 440 |
Total | 600 | 1200 | 1800 |
For two events to be independent P(AB) = P(A) * P(B)
Here A is High Blood Pressure
B is Smoker
P(AB) = 240 / 1800 = 0.13333
P(A) = 440 /1800
P(B) = 600 / 1800
P(A) * P(B) = (600 * 440) / (1800 * 1800)
= 0.08148
P(AB) is not equal to P(A) * P(B)
Hence A and B are not independent
Since there is a confusion on which set of values refers to which event, I would also test the other scenario out
Normal Blood Pressure | High Blood Pressure | Total | |
Smoker | 360 | 1000 | 1360 |
Non-Smoker | 240 | 200 | 440 |
Total | 600 | 1200 | 1800 |
For two events to be independent P(AB) = P(A) * P(B)
Here A is High Blood Pressure
B is Smoker
P(AB) = 1000 / 1800 = 0.5556
P(A) = 1200 /1800
P(B) = 1360 / 1800
P(A) * P(B) = (1200 * 1360) / (1800 * 1800)
= 0.503704
P(AB) is not equal to P(A) * P(B)
Hence A and B are not independent