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:
45.6
Step-by-step explanation:
trust me bro(don't)
15·0.8 + x = 30·0.9 --> x = 15
C. is the correct answer
Answer:
E. 16 min 12 sec
Step-by-step explanation:
Let x represent total time taken to complete the exercise.
We have been given that Dara ran on a treadmill that had a readout indicating the time remaining in her exercise session.
When the readout indicated 24 min 18 sec, she had completed 10% of her exercise session. This means that 90% time of exercise is equal to 24 minutes and 18 seconds.
18 seconds will be equal to 0.3 minutes.
Let us find total time of exercise as:
To find readout when Dara had completed 40% of her exercise session, we need to find 60% of total time.
Since our time in in minutes, so we will convert 0.2 minutes to seconds by multiplying by 60.
Therefore, the readout will indicate 16 minutes 12 seconds, when Dara had completed 40% of her exercise session.
Answer: -22/65
Step-by-step explanation: PLEASE GIVE BRAINLIEST IT HElPS ALOT
