Answer:

Step-by-step explanation:
Answer:
$30
Step-by-step explanation:
x =4(3.45)+1.5(3.98)+2(4.35)+1.53
=13.8+5.97+8.7+1.53
=30
Answer:
-
i
Step-by-step explanation:
Given
Multiply numerator/ denominator by i
=
[ i² = - 1 ]
= 
= -
i
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