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
-78
Step-by-step explanation:
(7-8)(78)
(-1)(78)=-78
We are given a boxplot that contains some data. We will use the information below to analyze the given question.
STEP 1: Median
From the image above, we can see that the median represents the line drawn inside the box
This gives;

STEP 2: Interquartile range
The interquartile range is the difference between the third quartile and the first quartile.
Answer:
there could be more than one answer...
Step-by-step explanation:
Answer:
7.5 pounds
Step-by-step explanation:
multiply by 3.
3x+3y=30
2x+3y=22.5.
x=7.5.
7.5+2.5=10.
7.5 pounds of walnuts, 2.5 pounds of raisins.
Hope this helps :D