Answer:
Hope this helps
Step-by-step explanation:
4. 10^2
5. 64 / 14 * 9 + 8
64/126+8
8 64/126
8 4/9
6. 1.762 x 10^3
Answer:
72
Step-by-step explanation:
Answer:
The probability that a woman in her 60s has breast cancer given that she gets a positive mammogram is 0.0276.
Step-by-step explanation:
Let a set be events that have occurred be denoted as:
S = {A₁, A₂, A₃,..., Aₙ}
The Bayes' theorem states that the conditional probability of an event, say <em>A</em>ₙ given that another event, say <em>X</em> has already occurred is given by:

The disease Breast cancer is being studied among women of age 60s.
Denote the events as follows:
<em>B</em> = a women in their 60s has breast cancer
+ = the mammograms detects the breast cancer
The information provided is:

Compute the value of P (B|+) using the Bayes' theorem as follows:




Thus, the probability that a woman in her 60s has breast cancer given that she gets a positive mammogram is 0.0276.
Question a is 48 i think! because if you do 12 x how many side there are. it’s 4 so 12 x 4
Answer:
I think it's c
Step-by-step explanation: