Math Problem Statement

Supply the missing quantities. Figure Description A tree diagram has two stages. Stage 1 has two nodes and stage 2 has four nodes. In stage 1, the branch from the starting position to node A is labeled 0.7. The branch from the starting position to node B is an answer blank. In stage 2, the branch from node A to node C is labeled 0.4. The branch from node A to node D is an answer blank. In stage 2, the branch from node B to node C is an answer blank. The branch from node B to node D is labeled 0.6. Outcome P(A ∩ C)

Incorrect: Your answer is incorrect. P(A ∩ D)

Incorrect: Your answer is incorrect. P(B ∩ C)

Incorrect: Your answer is incorrect. P(B ∩ D)

Incorrect: Your answer is incorrect.

Solution

This question involves filling in the missing probabilities on a tree diagram and calculating the joint probabilities for each outcome. Let’s break it down step by step:


Step 1: Understanding the tree diagram structure

  1. Stage 1:

    • There are two nodes, A and B.
    • The probability of reaching A is P(A)=0.7P(A) = 0.7, so the probability of reaching B must be P(B)=1P(A)=0.3P(B) = 1 - P(A) = 0.3.
  2. Stage 2:

    • From node A, there are two branches leading to outcomes C and D.

      • The probability of A → C is P(CA)=0.4P(C|A) = 0.4.
      • Therefore, the probability of A → D must be P(DA)=1P(CA)=0.6P(D|A) = 1 - P(C|A) = 0.6.
    • From node B, there are two branches leading to outcomes C and D.

      • The probability of B → D is P(DB)=0.6P(D|B) = 0.6.
      • Therefore, the probability of B → C must be P(CB)=1P(DB)=0.4P(C|B) = 1 - P(D|B) = 0.4.

Step 2: Fill in missing probabilities

  1. P(B)=0.3P(B) = 0.3
  2. P(DA)=0.6P(D|A) = 0.6
  3. P(CB)=0.4P(C|B) = 0.4

Step 3: Compute joint probabilities for outcomes

The joint probabilities P(AC)P(A ∩ C), P(AD)P(A ∩ D), P(BC)P(B ∩ C), and P(BD)P(B ∩ D) are calculated by multiplying the probabilities along each path:

  1. P(AC)=P(A)×P(CA)P(A ∩ C) = P(A) \times P(C|A)
    =0.7×0.4=0.28= 0.7 \times 0.4 = 0.28

  2. P(AD)=P(A)×P(DA)P(A ∩ D) = P(A) \times P(D|A)
    =0.7×0.6=0.42= 0.7 \times 0.6 = 0.42

  3. P(BC)=P(B)×P(CB)P(B ∩ C) = P(B) \times P(C|B)
    =0.3×0.4=0.12= 0.3 \times 0.4 = 0.12

  4. P(BD)=P(B)×P(DB)P(B ∩ D) = P(B) \times P(D|B)
    =0.3×0.6=0.18= 0.3 \times 0.6 = 0.18


Final Answers:

  • P(AC)=0.28P(A ∩ C) = 0.28
  • P(AD)=0.42P(A ∩ D) = 0.42
  • P(BC)=0.12P(B ∩ C) = 0.12
  • P(BD)=0.18P(B ∩ D) = 0.18

Would you like a visual of the tree diagram? 😊 Let me know!


Related Questions:

  1. How do you interpret the joint probability P(AC)P(A ∩ C)?
  2. What does it mean when P(BD)P(B ∩ D) is greater than P(BC)P(B ∩ C)?
  3. How do conditional probabilities affect the calculation of joint probabilities?
  4. What are the rules for ensuring all probabilities on a tree diagram sum to 1?
  5. How can you extend this problem to a tree diagram with more than two stages?

Tip: Always check that the sum of probabilities from each node in a tree diagram equals 1. This ensures consistency and correctness.

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Math Problem Analysis

Mathematical Concepts

Probability
Tree Diagrams
Conditional Probability
Joint Probability

Formulas

P(A ∩ C) = P(A) × P(C|A)
P(A ∩ D) = P(A) × P(D|A)
P(B ∩ C) = P(B) × P(C|B)
P(B ∩ D) = P(B) × P(D|B)

Theorems

Multiplication Rule for Joint Probability

Suitable Grade Level

Grades 10-12