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Sorry if I'm wrong I'm mr lemonade
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
Molly would have to hike for 11 days for it to equal 11/6
(1)
, and

Subtract this from
to get a remainder of

What we've done here is show that

We can keep going as long as the degree of the remainder's numerator is at least the same as the degree of its denominator.
Next,
, and

Subtract this from the previous remainder to get a new remainder of

which means

Finally,
, and

Subtract this from the previous remainder to get

So we end up with

(the quotient is the expression in the box)
(2) Using the same process as before:















