B I assume, not 100% sure
The conditional probability that a Philadelphian who got the flu got a flu shot is of:
0.4375 = 43.75%.
<h3>What is Conditional Probability?</h3>
Conditional probability is the probability of one event happening, considering the outcome of a previous event.
The formula is presented as follows:

In which each probability in the formula is described as follows:
- P(B|A) is the probability of the event B happening, given that the event A happened.
is the probability of both the events A and B happening.
- P(A) is the probability of the event A happening.
In the context of this problem, the events are described as follows:
- Event B: Got the flu shot.
The probability of people who got the flu is obtained as follows:
- 2% of 70%. (got the shot).
- 6% of 30%. (did not get the shot).
Hence:
P(A) = 0.02 x 0.7 + 0.06 x 0.3 = 0.032.
The probability of both getting the flu and the shot is:
P(A and B) = 0.02 x 0.7 = 0.014.
Hence the conditional probability that a Philadelphian who got the flu got a flu shot is calculated applying the conditional probability formula as follows:
P(B|A) = P(A and B)/P(A) = 0.014/0.032 = 0.4375 = 43.75%.
More can be learned about conditional probability at brainly.com/question/14398287
#SPJ1
Answer:
The answer to your question is: no
Step-by-step explanation:
Data
Fastest time = 27.93 s
Second fastest time = 27.97 s
Claire's time = 27.99 s
Just remember that to win a race, the athete that wins must register the lowest time.
Substract Claire's time from the fastest time, if the result is positive, Claire ran slower, if the result is negative Claire ran faster than the previous Girls.
Difference 1 = 27.99 - 27.93 = 0.06 positive, Claire ran slower
Difference 2 = 27.99 - 27.97 = 0.02 positive, Claire ran slower.
answer are attached in pic hope it's helpful for you
value of x =6
y =7