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
There are 120 different possible groups.
(10 * 9 * 8)/(3 * 2 * 1) + 120
1/6 of 18 is 3
1/9 of 18 is 2
3+2= 5
He lent 5 markets in total
Answer:
the first one is B and the second one is A
Step-by-step explanation:
I guessed and I got it right
Step-by-step explanation:
the answer is 8q^6r^3 and here are the steps in pic.