Answer:
39.17% probability that a woman in her 60s who has a positive test actually has breast cancer
Step-by-step explanation:
Bayes Theorem:
Two events, A and B.

In which P(B|A) is the probability of B happening when A has happened and P(A|B) is the probability of A happening when B has happened.
In this question:
Event A: Positive test.
Event B: Having breast cancer.
3.65% of women in their 60s get breast cancer
This means that 
A mammogram can typically identify correctly 85% of cancer cases
This means that 
Probability of a positive test.
85% of 3.65% and 100-95 = 5% of 100-3.65 = 96.35%. So

What is the probability that a woman in her 60s who has a positive test actually has breast cancer?

39.17% probability that a woman in her 60s who has a positive test actually has breast cancer
The opposite of 41 is -41
In order to find the answer, you can use-
1/4x=6
In order to get the answer, you multiply 6 by the denominator.
6x4=24
Then, you'd divide the solution of that part by the numerator.
24 divided by 1 equals 24.
Therefore, the final answer would be 24.
Answer:
The answer for this question would be 21x (when simplified).
Answer:
a
it' is a negative function since is going from top to bottom, the 1/2 represent the slope and it it going one down and two to the side, and the -2 is your y-intercept