Math Problem Statement

There are three bags. Bag 1 contains three red balls and one yellow ball. Bag 2 contains one red ball and three yellow balls. Bag 3 contains two red balls and two yellow balls. A person randomly selects one of the bags and randomly chooses one ball from the selected bag. What is the probability that the person selected Bag 1 given that they picked a red ball?

Solution

Let's analyze the problem presented in the image:

There are three bags:

  • Bag 1 contains three red balls and one yellow ball.
  • Bag 2 contains one red ball and three yellow balls.
  • Bag 3 contains two red balls and two yellow balls.

A person randomly selects one of the bags and randomly chooses one ball from the selected bag.

The problem asks: What is the probability that the person selected Bag 1?

Solution:

  1. Determine the total number of bags: There are 3 bags.

  2. Determine the probability of selecting each bag: Since the selection is random, the probability of selecting any one bag is 13\frac{1}{3}.

  3. Determine the probability of selecting a ball from each bag:

    • Bag 1: There are 4 balls in total (3 red and 1 yellow). The probability of selecting any ball from Bag 1 is 14\frac{1}{4}.
    • Bag 2: There are 4 balls in total (1 red and 3 yellow). The probability of selecting any ball from Bag 2 is 14\frac{1}{4}.
    • Bag 3: There are 4 balls in total (2 red and 2 yellow). The probability of selecting any ball from Bag 3 is 14\frac{1}{4}.
  4. Calculate the probability of selecting a ball from each bag given that a specific color is chosen:

    • For example, if we consider selecting a red ball, the probabilities would be:
      • Bag 1: Probability of selecting a red ball is 34\frac{3}{4}.
      • Bag 2: Probability of selecting a red ball is 14\frac{1}{4}.
      • Bag 3: Probability of selecting a red ball is 12\frac{1}{2}.
  5. Calculate the overall probability of selecting a red ball:

    • Overall probability = (Probability of selecting Bag 1 * Probability of selecting a red ball from Bag 1) + (Probability of selecting Bag 2 * Probability of selecting a red ball from Bag 2) + (Probability of selecting Bag 3 * Probability of selecting a red ball from Bag 3)
    • P(red ball)=(13×34)+(13×14)+(13×12)=13(34+14+24)=13(64)=13(32)=12P(\text{red ball}) = \left(\frac{1}{3} \times \frac{3}{4}\right) + \left(\frac{1}{3} \times \frac{1}{4}\right) + \left(\frac{1}{3} \times \frac{1}{2}\right) = \frac{1}{3} \left(\frac{3}{4} + \frac{1}{4} + \frac{2}{4}\right) = \frac{1}{3} \left(\frac{6}{4}\right) = \frac{1}{3} \left(\frac{3}{2}\right) = \frac{1}{2}
  6. Using Bayes' Theorem to find the probability of selecting Bag 1 given that a red ball was chosen:

    • P(Bag 1red ball)=P(red ballBag 1)×P(Bag 1)P(red ball)P(\text{Bag 1} | \text{red ball}) = \frac{P(\text{red ball} | \text{Bag 1}) \times P(\text{Bag 1})}{P(\text{red ball})}
    • P(Bag 1red ball)=(34)×(13)12=31212=312612=36=12P(\text{Bag 1} | \text{red ball}) = \frac{\left(\frac{3}{4}\right) \times \left(\frac{1}{3}\right)}{\frac{1}{2}} = \frac{\frac{3}{12}}{\frac{1}{2}} = \frac{\frac{3}{12}}{\frac{6}{12}} = \frac{3}{6} = \frac{1}{2}

Therefore, the probability that the person selected Bag 1 given that a red ball was chosen is 12\frac{1}{2}.

Would you like further details or have any questions?

Relative Questions:

  1. What is the probability of selecting Bag 2 given that a red ball was chosen?
  2. What is the probability of selecting Bag 3 given that a red ball was chosen?
  3. How would the probabilities change if the number of balls in each bag were different?
  4. What is the probability of selecting a yellow ball from any of the bags?
  5. How would you solve the problem if there were four bags instead of three?

Tip:

Understanding the application of Bayes' Theorem is crucial for solving conditional probability problems effectively.

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Math Problem Analysis

Mathematical Concepts

Probability
Conditional Probability

Formulas

Bayes' Theorem: P(A|B) = (P(B|A) * P(A)) / P(B)
Basic probability formula: P = (Favorable outcomes) / (Total outcomes)

Theorems

Bayes' Theorem

Suitable Grade Level

Grades 9-12