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Box-1 contains 30 cards marked from 1 to...

Box-1 contains 30 cards marked from 1 to 30 and Box-2 contains 20 cards marked from 31 to 50. A box is selected and a card is drawn. If the number on the card is non-prime then what is the probability that it came from Box 1.

A

4/17

B

6/17

C

7/17

D

8/17

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem step by step, we will calculate the probability that a card drawn is from Box 1 given that the card is non-prime. ### Step 1: Define the events Let: - \( B_1 \): the event that Box 1 is selected. - \( B_2 \): the event that Box 2 is selected. - \( E \): the event that the drawn card is non-prime. Since there are two boxes, the probability of selecting either box is: \[ P(B_1) = P(B_2) = \frac{1}{2} \] ### Step 2: Identify non-prime numbers in Box 1 Box 1 contains cards numbered from 1 to 30. The prime numbers in this range are: - 2, 3, 5, 7, 11, 13, 17, 19, 23, 29 Thus, the non-prime numbers in Box 1 are: - 1, 4, 6, 8, 9, 10, 12, 14, 15, 16, 18, 20, 21, 22, 24, 25, 26, 27, 28, 30 Counting these, we find there are 20 non-prime numbers in Box 1. ### Step 3: Identify non-prime numbers in Box 2 Box 2 contains cards numbered from 31 to 50. The prime numbers in this range are: - 31, 37, 41, 43, 47 Thus, the non-prime numbers in Box 2 are: - 32, 33, 34, 35, 36, 38, 39, 40, 42, 44, 45, 46, 48, 49, 50 Counting these, we find there are 15 non-prime numbers in Box 2. ### Step 4: Calculate the total probability of drawing a non-prime card Using the law of total probability, we can calculate \( P(E) \): \[ P(E) = P(B_1) \cdot P(E|B_1) + P(B_2) \cdot P(E|B_2) \] Where: - \( P(E|B_1) = \frac{20}{30} = \frac{2}{3} \) (non-prime cards from Box 1) - \( P(E|B_2) = \frac{15}{20} = \frac{3}{4} \) (non-prime cards from Box 2) Substituting the values, we get: \[ P(E) = \frac{1}{2} \cdot \frac{2}{3} + \frac{1}{2} \cdot \frac{3}{4} \] \[ P(E) = \frac{1}{3} + \frac{3}{8} \] To add these fractions, we find a common denominator (24): \[ P(E) = \frac{8}{24} + \frac{9}{24} = \frac{17}{24} \] ### Step 5: Calculate the required probability \( P(B_1|E) \) Using Bayes' theorem: \[ P(B_1|E) = \frac{P(E|B_1) \cdot P(B_1)}{P(E)} \] Substituting the known values: \[ P(B_1|E) = \frac{\frac{2}{3} \cdot \frac{1}{2}}{\frac{17}{24}} \] \[ P(B_1|E) = \frac{\frac{1}{3}}{\frac{17}{24}} = \frac{1}{3} \cdot \frac{24}{17} = \frac{8}{17} \] ### Final Answer The probability that the card came from Box 1 given that it is non-prime is: \[ \boxed{\frac{8}{17}} \]
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