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
Step-by-step explanation:
to be a function, every x has to have exactly one y, so there can't be the same number x twice wirh different y's
Answer:
B
Step-by-step explanation:
<em>Let
be the radius of one sphere.</em>
- Volume of sphere is

Since radius is r, the height of the cylinder will be 
Also, the cylinder has the same radius as the sphere: 
- Volume of Cylinder is

Plugging in the values we get: 
<u>Ratio of volume of 1 sphere to volume of cylinder is</u>:

The ratio is 1:3
Answer choice B is right.
C. Prime
Pretty sure its C because none of the other options factor to x^2-8x-12
Area= 3x0.8 =2.4
Perimeter= 3+3=6
0.8+0.8=1.6
6+1.6=7.6
Pls mark brainliest