Answer:thre
Step-by-step explanation:
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
4a-13=19 add 13 to both sides
4a=32 divide by 4 on both sides
a=8
Answer:
The answer is D.) Choosing New York as a sample, then selecting a sample of zip codes within New York, then sampling the names of people living in those zip codes.
Explanation:
When you use multistage sampling, you take a sample from a population by breaking it down into smaller and smaller groupings (units) at each stage. It's frequently used in nationwide surveys to collect data from a big, geographically dispersed group of people. I hope I helped! ^-^