#3 the answer is 4.
The reasoning for this is because x=-1 so if it is applied where x is at you have to subtract instead of multiplying in this equation. So 2xsquared is 2-1 which is 1. Same thing for 6x (6-1) which is 5. So the problem would end up being 1-5 which equals 4.
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:
70
Step-by-step explanation:
has to add up to 180 bro.
I KNOW this will help.
Answer:
if you want a t*-value for a 90% confidence interval when you have 9 degrees of freedom, go to the bottom of the table, find the column for 90%, and intersect it with the row for df = 9. This gives you a t*–value of 1.833 (rounded).
Step-by-step explanation:
Hope this helps!
Answer:
can you put a link up?
Step-by-step explanation: