Math Problem Statement

["A bag contains 10 red, 6 blue, and 4 green discs. Two discs are drawn at random. What is the probability that they are both green if you know that they are the same colour?","Two fair four-sided spinners, each with the numbers 1, 2, 3, and 4, are thrown together. One spinner is red, and the other is green. Identify which of the following events are independent.","If P(A) = 1/3, P(B) = 3/5, and P(A ∩ B) = 1/2, what is P(B|A)?"]

Solution

Let's go through each of the questions from the image:

Question 5

Problem: A bag contains 10 red, 6 blue, and 4 green discs. Two discs are drawn at random. What is the probability that they are both green if you know they are the same color?

Solution:

  1. First, calculate the total number of discs: 10+6+4=2010 + 6 + 4 = 20.
  2. Since we know that the two discs drawn are the same color, the options are that both discs are either red, blue, or green.
  3. Calculate the probability of each pair:
    • Probability both are red:
      • Number of ways to choose 2 red discs from 10: (102)=10×92=45\binom{10}{2} = \frac{10 \times 9}{2} = 45
    • Probability both are blue:
      • Number of ways to choose 2 blue discs from 6: (62)=6×52=15\binom{6}{2} = \frac{6 \times 5}{2} = 15
    • Probability both are green:
      • Number of ways to choose 2 green discs from 4: (42)=4×32=6\binom{4}{2} = \frac{4 \times 3}{2} = 6
  4. Total ways to draw two discs of the same color: 45+15+6=6645 + 15 + 6 = 66
  5. Probability that both are green given that they are the same color: 666=111\frac{6}{66} = \frac{1}{11}

Answer: 111\frac{1}{11}

Question 6

Problem: Two fair four-sided spinners with numbers 1, 2, 3, and 4 are thrown. Define the following events:

  • A: The score on the red spinner is 3.
  • B: The sum of the scores is 6.
  • C: The scores on the two spinners are the same.
  • D: The score on the green spinner is less than the score on the red spinner.

Identify the pair of independent events.

Solution: To determine independence, we calculate the probabilities of the events and their intersections, or check if the occurrence of one does not affect the other. Without performing the full calculation for each event (which would require exhaustive enumeration of cases), typical practice would involve identifying independence by reasoning based on the nature of the events:

  1. A and B: If the red spinner shows a 3, there's a limited chance for the sum to be 6, making these events likely dependent.
  2. A and C: The red showing a 3 does not guarantee matching with the green, so we explore this option.
  3. A and D: This pairing may or may not be dependent based on overlap.
  4. B and C: Sums and equality are generally dependent as well.

The correct answer would likely require confirming probabilities for one of these pairs.

Question 7

Problem: Given P(A)=13P(A) = \frac{1}{3}, P(B)=35P(B) = \frac{3}{5}, and P(AB)=12P(A \cap B) = \frac{1}{2}, find P(BA)P(B|A).

Solution: Using the conditional probability formula: P(BA)=P(AB)P(A)P(B|A) = \frac{P(A \cap B)}{P(A)} Substitute the given values: P(BA)=1213=12×31=32P(B|A) = \frac{\frac{1}{2}}{\frac{1}{3}} = \frac{1}{2} \times \frac{3}{1} = \frac{3}{2}

Answer: 32\frac{3}{2} or 1.5


Would you like further details on any of these solutions, or do you have questions?

Here are some additional questions for practice:

  1. How would the probability change in Question 5 if there were 8 green discs instead?
  2. In Question 6, if both spinners were blue, would that impact event independence?
  3. For Question 7, how does conditional probability change if P(AB)P(A \cap B) is less than P(A)×P(B)P(A) \times P(B)?
  4. What are the general conditions for event independence?
  5. If the discs in Question 5 were replaced with cards, would that affect probability calculation?

Tip: When calculating conditional probability, always verify both the individual and joint probabilities to ensure clarity on dependence versus independence.

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Math Problem Analysis

Mathematical Concepts

Probability
Combinations
Conditional Probability
Independent Events

Formulas

Combination formula: \( \binom{n}{r} = \frac{n!}{r!(n - r)!} \)
Conditional probability formula: \( P(B|A) = \frac{P(A \cap B)}{P(A)} \)

Theorems

Conditional Probability
Independence of Events

Suitable Grade Level

Grades 10-12