A Diagnostic test has a 98% probability of giving a positive result when given to a person who has a certain disease. It has a 10% probability of giving a (false) positive result when given to a person who does not have the disease. It is estimated that 15% of the population suffers from this disease. (a) What is the probability that a test result is positive? (b) A person receives a positive test result. What is the probability that this person actually has the discase? (c) A person receives a positive test result. What is the probability that this person does not actually have the disease?

a)

b)

c)

Step-by-step explanation:

For this case we define the following notation:

+ represent the event of getting a positive result

D = represent the event of having the disease

ND = represent the event of NO having the disease

From the info given we know that:

And by the complement rule we can find:

Part a

For this case we want to find this probability P(+) and for this case we can use the Bayes total rule and we can do this:

And if we replace we got:

Part b

We want to find this probability and using the bayes rule we have:

We can find the numerator from:

And then if we replace we got:

Part c

We want to find this probability and using the bayes rule we have:

We can find the numerator from:

And then if we replace we got:

x-150=475   x=625

step-by-step explanation:

if the bike after the sale ($150) is $475 then just simply add 150 to 475.