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
Answer:
A and B
Step-by-step explanation:
9x+9+5x-6
14x+3
32x+8-18x-5
14x+3
Answer:
-28
Step-by-step explanation:
-16 +(-12)
= -16 - 12
adding both of them,
= - 28
x correct answers
23 - x incorrect answers
82 = 4x + -1(23 - x) = 3x - 23
105 = 5 x
x = 105/5 = 21
21 right 2 wrong 2 unanswered
Check: 4(21) -1(2) = 84-2=82 good
Answer:the third one
Step-by-step explanation:
just time how much months,weeks, and years, for each amount