(a) Find the conditional probability that the black die resulted in a number less than 4 given (i) P(E ∩ F) and P(F) (ii) P(E ∪ F) and P(E, F) (iii) P(E) and P(G | E).

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Understand the Problem

The question is asking to solve specific probability-related problems involving dice rolls and conditions related to events. It requires applying concepts of conditional probability and events in probability theory.

Answer

The probability $P(E) = \frac{1}{6}$; calculations for $P(F \cap E)$ and $P(G|E)$ depend on F and G values.
Answer for screen readers
  • ( P(E) = \frac{1}{6} )
  • ( P(F \cap E) ) and ( P(G|E) ) depend on chosen values for F and G.

Steps to Solve

  1. Understanding Given Events

    We have to find various probabilities based on conditions related to rolling two dice. Let:

    • E: "The event that the sum is greater than 9"
    • F: "The event that the black die is rolled"
    • G: "The event that the red die is rolled"
  2. Calculate Total Outcomes

    The total possible outcomes when rolling two six-sided dice is given by: $$ \text{Total Outcomes} = 6 \times 6 = 36 $$

  3. Finding Event P(E)

    Calculate the number of outcomes where the sum of two dice is greater than 9.

    • The combinations for sums greater than 9:
      • Sum = 10: (4,6), (5,5), (6,4)
      • Sum = 11: (5,6), (6,5)
      • Sum = 12: (6,6)
    • Total outcomes where the sum is greater than 9 = 6

    Thus, $$ P(E) = \frac{6}{36} = \frac{1}{6} $$

  4. Defining Condition P(F) and P(G)

    Assume F and G represent specific outcomes from one of the dice:

    • F = black die lands on a specific number
    • G = red die lands on a specific number
  5. Finding P(F and E)

    Determine the joint probability of the events F and E:

    • You need to consider which combinations from F contribute to E.
    • For example, if F = 5, the combinations that yield a sum greater than 9 would be (5,5), (5,6).
  6. Conditional Probability Calculation

    Calculate the conditional probabilities:

    • The conditional probability of G given E would be: $$ P(G|E) = \frac{P(G \cap E)}{P(E)} $$
  7. Final calculations for other parts

    Integrate the results to find:

    • $P(E \cap F)$, $P(G|E)$, etc., based on your defined outcomes.
  • ( P(E) = \frac{1}{6} )
  • ( P(F \cap E) ) and ( P(G|E) ) depend on chosen values for F and G.

More Information

Calculating probabilities in such problems primarily relies on understanding the possible outcomes and applying conditional probability formulas. It is essential to define events clearly before performing calculations.

Tips

  • Confusing the total number of outcomes with specific events. Always ensure to count only the relevant outcomes for each event.
  • Ignoring conditions while calculating joint probabilities. Make sure to account for the overlap in events correctly.

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