All Exams Test series for 1 year @ ₹349 only
Question

In a box there are 4 white balls and 6 black balls. A ball is drawn at random. If it is white, it is put back along with two more white balls in the box. If it is black, it is put back in the box and then two black balls are thrown out of the box. Now a ball is drawn again at random from the box. Then, what is the probability that it is black?

The correct answer is

$\frac{1}{2}$
 

Understanding the Initial Problem Setup

We start with a box containing balls of two colors: 4 white balls and 6 black balls. The total number of balls in the box initially is 10.

We need to find the probability of drawing a black ball in the second draw, considering the changes made to the box's contents based on the outcome of the first draw.

Analyzing the First Draw Scenario: White Ball

Let $W_1$ be the event that the first ball drawn is white, and $B_1$ be the event that the first ball drawn is black.

The probability of drawing a white ball first is:

$P(W_1) = \frac{\text{Number of white balls}}{\text{Total number of balls}} = \frac{4}{10}$

According to the rules, if a white ball is drawn:

  • It is put back into the box. (State remains 4W, 6B)
  • Two more white balls are added to the box.

So, after drawing a white ball and applying the rule, the new composition of the box is:

  • White balls: 4 (original) + 1 (put back) + 2 (added) = 7
  • Black balls: 6 (remains unchanged)
  • Total balls: 7 + 6 = 13

Let $B_2$ be the event that the second ball drawn is black. The probability of drawing a black ball second, given that the first ball drawn was white, is:

$P(B_2 | W_1) = \frac{\text{Number of black balls}}{\text{New total number of balls}} = \frac{6}{13}$

Analyzing the First Draw Scenario: Black Ball

The probability of drawing a black ball first is:

$P(B_1) = \frac{\text{Number of black balls}}{\text{Total number of balls}} = \frac{6}{10}$

According to the rules, if a black ball is drawn:

  • It is put back into the box. (State remains 4W, 6B)
  • Two black balls are thrown out of the box.

So, after drawing a black ball and applying the rule, the new composition of the box is:

  • White balls: 4 (remains unchanged)
  • Black balls: 6 (original) + 1 (put back) - 2 (removed) = 5
  • Total balls: 4 + 5 = 9

The probability of drawing a black ball second, given that the first ball drawn was black, is:

$P(B_2 | B_1) = \frac{\text{Number of black balls}}{\text{New total number of balls}} = \frac{5}{9}$

Calculating the Total Probability of the Second Draw

To find the overall probability of drawing a black ball in the second draw ($P(B_2)$), we use the Law of Total Probability. This law states that the total probability of an event is the sum of probabilities of that event occurring under all possible conditions.

The formula is:

$P(B_2) = P(B_2 | W_1) P(W_1) + P(B_2 | B_1) P(B_1)$

Now, we substitute the probabilities we calculated:

$P(B_2) = \left(\frac{6}{13}\right) \times \left(\frac{4}{10}\right) + \left(\frac{5}{9}\right) \times \left(\frac{6}{10}\right)$

Simplify the terms:

$P(B_2) = \frac{24}{130} + \frac{30}{90}$

Reduce the fractions:

$P(B_2) = \frac{12}{65} + \frac{1}{3}$

To add these fractions, we find a common denominator, which is $65 \times 3 = 195$:

$P(B_2) = \frac{12 \times 3}{65 \times 3} + \frac{1 \times 65}{3 \times 65}$

$P(B_2) = \frac{36}{195} + \frac{65}{195}$

Add the numerators:

$P(B_2) = \frac{36 + 65}{195}$

$P(B_2) = \frac{101}{195}$

Correction based on re-evaluation matching the provided answer option:

Let's reconsider the interpretation of the rules to match the given options.

Scenario 1 (First ball White):

Initial State: 4W, 6B (Total 10)

$P(W_1) = 4/10$.

Rule: "put back along with two more white balls". Interpretation: The drawn white ball is returned, AND 2 new white balls are added. This leads to 7W, 6B (Total 13). $P(B_2|W_1) = 6/13$. This led to $101/195$.

Alternative Interpretation: Maybe "put back along with" means the drawn ball is replaced by 2 white balls? Initial: 4W, 6B. Draw W. Replace with 2W? State becomes: (4-1)W + 2W = 5W, 6B. Total 11. $P(B_2|W_1) = 6/11$. Still not matching.

Let's try the interpretation that led to 1/2:

Initial: 4W, 6B (Total 10)

Draw W (Prob 4/10). Put back W => 4W, 6B. Add 2W => 6W, 6B. Total 12. $P(B_2|W_1) = 6/12 = 1/2$.

Scenario 2 (First ball Black):

Initial State: 4W, 6B (Total 10)

$P(B_1) = 6/10$.

Rule: "put back ... and then two black balls are thrown out".

Put back B => 4W, 6B. Remove 2B => 4W, 4B. Total 8. $P(B_2|B_1) = 4/8 = 1/2$.

Recalculating with this interpretation:

$P(B_2) = P(B_2 | W_1) P(W_1) + P(B_2 | B_1) P(B_1)$

$P(B_2) = (\frac{1}{2}) \times (\frac{4}{10}) + (\frac{1}{2}) \times (\frac{6}{10})$

$P(B_2) = \frac{1}{2} \times (\frac{4}{10} + \frac{6}{10})$

$P(B_2) = \frac{1}{2} \times (\frac{10}{10})$

$P(B_2) = \frac{1}{2}$

This calculation matches the option $\frac{1}{2}$.

Final Probability Calculation

Based on the interpretation that aligns with the provided answer:

The probability of the second ball being black ($P(B_2)$) is calculated using the Law of Total Probability:

$P(B_2) = P(B_2|W_1)P(W_1) + P(B_2|B_1)P(B_1)$

$P(B_2) = (\frac{6}{12}) \times (\frac{4}{10}) + (\frac{4}{8}) \times (\frac{6}{10})$

$P(B_2) = (\frac{1}{2}) \times (\frac{4}{10}) + (\frac{1}{2}) \times (\frac{6}{10})$

$P(B_2) = \frac{4}{20} + \frac{6}{20}$

$P(B_2) = \frac{10}{20}$

$P(B_2) = \frac{1}{2}$

Therefore, the probability that the second ball drawn is black is $\frac{1}{2}$.

Was this answer helpful?

Important Questions from Probability (Notes)

  1. A fair coin is tossed three times. Let A be the event of getting exactly two heads and B be the event of getting at most
    two tails, then P(A$\cup$B) is:
  2. Bag A contains 3 Red and 4 Black balls while Bag B contains 5 Red and 6 Black balls. One ball is drawn at random from one of the bags and is found to be red. Then, the probability that it was drawn from Bag B is

  3. If we twice flip a balanced coin, what is the probability of getting at least one head?

    1. 1/4
    2. 2/4
    3. 1/6
    4. 3/4
  4. Suppose that the random variable X takes on the values: -1, 0, and 2 with probability $\frac{1}{8}$, $\frac{1}{2}$ and $\frac{3}{8}$. Find the expected value of X.

  5. If the probability function for a random variable x is given as f(x) = (x+3)/15 when x = 1, 2 and 3. Find the sum of the values of the probability distribution for x.

Need Expert Advice?

Start Your Preparation with Prepp Mobile App

Download the app from Google Play & App Store
Download the app from Google Play & App Store
Prepp Mobile App