Using conditional probability, it is found that there is a 0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.
Conditional Probability
In which
- P(B|A) is the probability of event B happening, given that A happened.
is the probability of both A and B happening.
- P(A) is the probability of A happening.
In this problem:
- Event A: Person has the flu.
- Event B: Person got the flu shot.
The percentages associated with getting the flu are:
- 20% of 30%(got the shot).
- 65% of 70%(did not get the shot).
Hence:

The probability of both having the flu and getting the shot is:

Hence, the conditional probability is:

0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.
To learn more about conditional probability, you can take a look at brainly.com/question/14398287
Answer:
700
Step-by-step explanation:
The '7' in the number 1273 ..it is in the second place which represents 'tens' so it is equal to '70' ten times this amount would be 700. If you have a list of numbers to choose from.....choose one with the '7' in the THIRD position.
Answer:
d
Step-by-step explanation:
Answer:
last one Building B; it is around 33.29 feet taller than building A Step-by-step explanation: