Answer:
24
Step-by-step explanation:
12*2=2
2.4 rounds down
Answer:
The answer would be 18/16 or 1 1/8.
B( use your hourly wage and tips)
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:
Which of the following questions allows for variability?
How many students visited the nurse on Monday, September 15, 2014, at your school?
How many free throws can a person make in one minute?
How much money do doctors earn per year?
How tall are the players on the Harlem Globetrotters?
NO LINK OR YOU WILL BE REPORTED
Step-by-step explanation:
HELP SRRY FOR THIS