Answer:
The answer is B 62
Step-by-step explanation:
I just divid 124 by 2
Each number is added by 3 so it's 17 20 23 26 29 32 35 38 41 and so on.
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: n=37
Step-by-step explanation:
0.05n+0.10x2n=9.25
0.25n=9.25
n=9.25/0.25
n=37
The first option because turn them all into degrees and it says:
54, 60, 90, 120, 255