Answer:
Required Probability = 0.605
Step-by-step explanation:
Let Probability of people actually having predisposition, P(PD) = 0.03
Probability of people not having predisposition, P(PD') = 1 - 0.03 = 0.97
Let PR = event that result are positive
Probability that the test is positive when a person actually has the predisposition, P(PR/PD) = 0.99
Probability that the test is positive when a person actually does not have the predisposition, P(PR/PD') = 1 - 0.98 = 0.02
So, probability that a randomly selected person who tests positive for the predisposition by the test actually has the predisposition = P(PD/PR)
Using Bayes' Theorem to calculate above probability;
P(PD/PR) =
=
=
= 0.605 .
Answer:
-6.42 is the closest to zero so that is the answer
Answer: 10
Step-by-step explanation:
The store wants to make a 20% profit:
Multiply the cost of the toy by 1.20 ( cost plus 20%).
6.25 x 1.20 = $7.50
This means when the toy is sold at 25% off, it needs to be $7.50 to make the 20% profit.
When the item is 25% off, that means it would sell for 75% of the original price.
Now to find what the price needs to be before the 25% off divide the profit price by 75%
7.50 / 0.75 = $10
K = $10