On discovering that her family had a 70% risk of heart attack, erin took a treadmill test to check her own potential of having a heart attack. the doctors told her that the reliability of the stress test is 67%. the test predicted that erin will not have a heart attack. what is the probability after the test was taken that she will have a heart attack?

0.4051
0.5010
0.4653
0.6632

C.  0.4653

Step-by-step explanation:

This a conditional probability problem where Bayes theorem should be applied.

Applying Bayes theorem,

Putting the values,

There is a probability of 0.4653 or 46.53% chance that she will not have a heart attack even though the test predicts that she will.

step-by-step explanation:

the options are kind of confusing. i can tell you what i see going on here when i look at the graph.

the class and exam medians are closely related, and it looks like the low outlier on the exam did pull the median lower. [tex][/tex]

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