Mrs. Haines paid $43.94 per gallon for 12.7 gallons of gas. She uses some credit card points to get $0.52 off per gallon. What i
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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
Hi there!
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I believe your answer is:
(0.286, 5.587)
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Here’s why:
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- I have graphed the two equations in a program. When graphed, the lines intersect at point (0.286, 5.587).
- See the graph attached.
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Hope this helps you. I apologize if it’s incorrect.
