A specific influences infection 0.2% of the populace. A test used to distinguish the infection in an individual is positive 85% of the time if the individual has the infection (genuine positive) and 15% of the time if the individual doesn't have the infection (bogus postive). Round out the rest of the accompanying table and use it to respond to the two inquiries underneath.

Infected Not Infected Total

Positive Test

Negative Test

Total 200 99,800 100,000

a) Find the likelihood that an individual has the infection given that they have tried positive. Round your response to the closest 10th of a percent and do exclude a percent sign.

P(Infected | Positive Test)= %

b) Find the likelihood that an individual doesn't have the infection given that they test negative. Round your response to the closest 10th of a percent and do exclude a percent sign.

*@20-

P(Not Infected | Negative Test) = %

A test was given to a gathering of understudies. The evaluations and sex are summed up beneath

A B C Total

Male 13 7 4 24

Female 12 17 9 38

Total 25 24 13 62

In the event that one understudy is picked aimlessly from the individuals who stepped through the exam,

Discover the likelihood that the understudy was female GIVEN they got 'A'.

A gathering of individuals were inquired as to whether they had run a red light somewhat recently. 296 reacted "yes", and 196 reacted "no".

Discover the likelihood that if an individual is picked indiscriminately, they have run a red light somewhat recently.

Offer your response as a small portion or decimal precise to at any rate 3 decimal spots

Giving a test to a gathering of understudies, the evaluations and sex are summed up underneath

A B C Total

Male 17 13 11 41

Female 10 18 20 48

Total 27 31 31 89

On the off chance that one understudy was picked aimlessly,

discover the likelihood that the understudy was female.

Offer your response as a small portion or decimal.