Question:

Suppose that
Box-I contains 8 red, 3 blue and 5 green balls,
Box-II contains 24 red, 9 blue and 15 green balls,
Box-III contains 1 blue, 12 green and 3 yellow balls,
Box-IV contains 10 green, 16 orange and 6 white balls.
A ball is chosen randomly from Box-I ; call this ball $b$ If $b$ is red then a ball is chosen randomly from Box-II, if $b$ is blue then a ball is chosen randomly from Box-III, and if $b$ is green then a ball is chosen randomly from Box-IV The conditional probability of the event 'one of the chosen balls is white' given that the event 'at least one of the chosen balls is green' has happened, is equal to

Updated On: May 25, 2024
  • $\frac{15}{256}$
  • $\frac{3}{16}$
  • $\frac{5}{52}$
  • $\frac{1}{8}$
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The Correct Option is C

Approach Solution - 1

The correct option is (C): \(\frac{5}{52}\)

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Approach Solution -2

To solve the problem, we need to determine the conditional probability \( P(A | B) \), where:
- \( A \) is the event that one of the chosen balls is white.
- \( B \) is the event that at least one of the chosen balls is green.

Let's calculate the probability step by step:
 Step 1: Determine the probabilities for choosing balls from Box I

Box I contains:
- 8 red balls
- 3 blue balls
- 5 green balls

Total balls in Box I = 8 + 3 + 5 = 16
 Probability of choosing each color from Box I:
- \( P(R) = \frac{8}{16} = \frac{1}{2} \)
- \( P(B) = \frac{3}{16} \)
- \( P(G) = \frac{5}{16} \)

 Step 2: Determine the probabilities of events \( A \) and \( B \)
 Event \( A \) (one of the chosen balls is white):
If a ball \( b \) chosen from Box I is:
- Red: Choose from Box II, which has no white balls.
- Blue: Choose from Box III, which has no white balls.
- Green: Choose from Box IV, which has 6 white balls out of 32.

Thus, \( A \) can only occur if the ball chosen from Box I is green, and then a white ball is chosen from Box IV.

The probability of choosing a white ball from Box IV is:
\[ P(W | G) = \frac{6}{32} = \frac{3}{16} \]

 Step 3: Calculate the probability of event \( B \) (at least one of the chosen balls is green)

Event \( B \) can occur in two ways:
1. \( b \) is green from Box I.
2. \( b \) is not green from Box I, but a green ball is chosen from Box II or Box III.

To calculate \( P(B) \):

Case 1: \( b \) is green from Box I
- Probability = \( P(G) = \frac{5}{16} \)
- The ball chosen from Box IV is either green or white (but not affecting \( B \)).

Case 2: \( b \) is not green from Box I, and another green ball is chosen:
- Probability of \( b \) being red = \( P(R) = \frac{8}{16} = \frac{1}{2} \)
 - From Box II: Probability of choosing a green ball = \( \frac{15}{48} = \frac{5}{16} \)

- Probability of \( b \) being blue = \( P(B) = \frac{3}{16} \)
 - From Box III: Probability of choosing a green ball = \( \frac{12}{16} = \frac{3}{4} \)

So,
\[ P(B) = P(G) + P(R) \times \frac{15}{48} + P(B) \times \frac{12}{16} \]
\[ P(B) = \frac{5}{16} + \left(\frac{1}{2} \times \frac{5}{16}\right) + \left(\frac{3}{16} \times \frac{3}{4}\right) \]
\[ P(B) = \frac{5}{16} + \frac{5}{32} + \frac{9}{64} \]
\[ P(B) = \frac{20}{64} + \frac{10}{64} + \frac{9}{64} = \frac{39}{64} \]

 Step 4: Calculate \( P(A \cap B) \) (one of the chosen balls is white and at least one is green)

This can only happen if:
- \( b \) is green from Box I and a white ball is chosen from Box IV.

\[ P(A \cap B) = P(G) \times P(W | G) = \frac{5}{16} \times \frac{3}{16} = \frac{15}{256} \]

 Step 5: Calculate the conditional probability \( P(A | B) \)

\[ P(A | B) = \frac{P(A \cap B)}{P(B)} = \frac{\frac{15}{256}}{\frac{39}{64}} = \frac{15}{256} \times \frac{64}{39} = \frac{15}{156} = \frac{5}{52} \]

Thus, the conditional probability that one of the chosen balls is white given that at least one of the chosen balls is green is \( \boxed{\frac{5}{52}} \).
So The correct Answer is  option (C): \(\frac{5}{52}\)

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Concepts Used:

Probability

Probability is defined as the extent to which an event is likely to happen. It is measured by the ratio of the favorable outcome to the total number of possible outcomes.

The definitions of some important terms related to probability are given below:

Sample space

The set of possible results or outcomes in a trial is referred to as the sample space. For instance, when we flip a coin, the possible outcomes are heads or tails. On the other hand, when we roll a single die, the possible outcomes are 1, 2, 3, 4, 5, 6.

Sample point

In a sample space, a sample point is one of the possible results. For instance, when using a deck of cards, as an outcome, a sample point would be the ace of spades or the queen of hearts.

Experiment

When the results of a series of actions are always uncertain, this is referred to as a trial or an experiment. For Instance, choosing a card from a deck, tossing a coin, or rolling a die, the results are uncertain.

Event

An event is a single outcome that happens as a result of a trial or experiment. For instance, getting a three on a die or an eight of clubs when selecting a card from a deck are happenings of certain events.

Outcome

A possible outcome of a trial or experiment is referred to as a result of an outcome. For instance, tossing a coin could result in heads or tails. Here the possible outcomes are heads or tails. While the possible outcomes of dice thrown are 1, 2, 3, 4, 5, or 6.