Referring to Exercise 2.95, what is the probability that a person diagnosed as having cancer actually has the disease?

The answer is 0.406

Step-by-step explanation:

Exercise 2.95: In a certain region of the country it is known from past experience that theprobability of selecting an adult over 40 years of age with cancer is 0.05.  If the probability of a doctor correctly diagnosing a person with cancer as having the disease is 0.78 and theprobability of incorrectly diagnosing a person without cancer as having the disease is 0.06,what is the probability that an adult over 40 years of age is diagnosed as having cancer?

This time we want to calculate P(C | D). To do this, we use Bayes rule:

c

step-by-step explanation:

it isn't d, because the interquartile range is from 27-57. and the interquartile range is basically half the data, it's pretty obvious.

it isn't b, because like i said earlier, the interquartile range is from 27-57. 57-27 is 30. the real range has to be longer

not a either. although it looks like it, 3/4 of the data is not greater than 27. but if c is wrong than this should be correct

the correct answer is c, because 13 is the point in which the plot starts

seems like d

step-by-step explanation: