"We buy gallons of gas, but liters of soda. We drive for miles but run the 400-meter dash. Discuss how or why this is true in ou
1 answer:
You might be interested in
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
here's the solution,
we know that, sum of <u>measures</u> of each interior angle of a <u>triangle</u> = <u>180°</u>
<u>F</u><u>igure</u><u> </u><u>1</u><u>.</u>
=》
=》
=》
=》
=》
<u>Figure</u><u> </u><u>2</u><u>.</u><u> </u>
=》
=》
=》
=》
=》
=》
<u>Figure</u><u> </u><u>3</u><u>.</u>
=》
=》
=》
=》
=》
=》