Answer
**Problem d:**
- **Answer:** Option A is correct. \( P(A \mid B) \) is the probability that the sum of rolling two dice is at most ten given that the first die is a one or three and the second die is odd.
- **Calculation:** \( P(A \mid B) = 1 \)
**Problem e:**
- **Answer:** \( A \) and \( B \) are not mutually exclusive events because there is a non-zero probability (\( \frac{1}{6} \)) that both events occur together.
Solution
Sure, let's work through **Problem d** and **Problem e** step by step.
---
## **Problem d**
**Question:**
Which of the following explains what \( P(A \mid B) \) represents?
**Options:**
- **A.** \( P(A \mid B) \) is the probability that the sum of rolling two dice is at most ten given the fact that we have a one or three on the first die, followed by an odd number on the second die.
- **B.** \( P(A \mid B) \) is the probability of rolling a one or three on the first die, followed by an odd number on the second die given that the sum of these two rolls is at least ten.
- **C.** \( P(A \mid B) \) is the probability of rolling a one or three on the first die, followed by an odd number on the second die given that the sum of these two rolls is at most ten.
- **D.** None of the above.
**Understanding \( P(A \mid B) \):**
The notation \( P(A \mid B) \) denotes the **probability of event \( A \)** occurring **given that event \( B \)** has occurred.
Let's define the events based on the options:
- **Event \( A \):** The sum of rolling two dice is at most ten.
- **Event \( B \):** Rolling a one or three on the first die, followed by an odd number on the second die.
**Interpreting the Options:**
- **Option A** correctly states that \( P(A \mid B) \) is the probability that the sum is at most ten **given** that \( B \) has occurred.
- **Option B** incorrectly reverses the conditions, making it \( P(B \mid A) \).
- **Option C** misstates \( A \) and \( B \) within the conditional probability.
- **Option D** is incorrect because **Option A** is accurate.
**Conclusion:**
**Option A** is the correct interpretation of \( P(A \mid B) \).
---
**Calculating \( P(A \mid B) \):**
The formula for conditional probability is:
\[
P(A \mid B) = \frac{P(A \cap B)}{P(B)}
\]
**Step 1: Calculate \( P(B) \)**
- Rolling a one or three on the first die: \( 2/6 = 1/3 \)
- Rolling an odd number on the second die: \( 3/6 = 1/2 \)
- Since the two dice are independent:
\[
P(B) = \frac{1}{3} \times \frac{1}{2} = \frac{1}{6}
\]
**Step 2: Calculate \( P(A \cap B) \)**
- \( A \cap B \) means both:
- The sum is at most ten.
- The first die is a one or three, and the second die is odd.
First, list all possible outcomes for \( B \):
- First die: 1 or 3
- Second die: 1, 3, or 5
- Total favorable outcomes for \( B \): \( 2 \times 3 = 6 \)
Now, check which of these have a sum at most ten:
- \( (1,1) \): \( 1 + 1 = 2 \) ✓
- \( (1,3) \): \( 1 + 3 = 4 \) ✓
- \( (1,5) \): \( 1 + 5 = 6 \) ✓
- \( (3,1) \): \( 3 + 1 = 4 \) ✓
- \( (3,3) \): \( 3 + 3 = 6 \) ✓
- \( (3,5) \): \( 3 + 5 = 8 \) ✓
All outcomes in \( B \) also satisfy \( A \) (since the maximum sum here is 8, which is less than 10).
\[
P(A \cap B) = P(B) = \frac{1}{6}
\]
**Step 3: Compute \( P(A \mid B) \)**
\[
P(A \mid B) = \frac{P(A \cap B)}{P(B)} = \frac{\frac{1}{6}}{\frac{1}{6}} = 1
\]
**Answer:**
\[
P(A \mid B) = 1
\]
This means that if you have a one or three on the first die followed by an odd number on the second die, the sum of the two dice will **always** be at most ten.
---
## **Problem e**
**Question:**
Are \( A \) and \( B \) mutually exclusive events?
**Options Explanation:**
1. **First Statement:**
- It is possible to have a one or a three on the first die followed by an odd number on the second die **when the sum of these two numbers is at most ten**.
- Numerically, \( P(A \text{ AND } B) = \frac{1}{6} \), so the events are **not** mutually exclusive.
2. **Second Statement:**
- It is **impossible** to have a one or a three on the first die followed by an odd number on the second die **when the sum of these two numbers is at most ten**.
- Numerically, \( P(A \text{ AND } B) = 0 \), so the events are **mutually exclusive**.
**Determining Mutual Exclusivity:**
Two events \( A \) and \( B \) are **mutually exclusive** if they **cannot occur simultaneously**, i.e., \( P(A \cap B) = 0 \).
From **Problem d**, we found:
\[
P(A \cap B) = \frac{1}{6} \neq 0
\]
**Conclusion:**
Since \( P(A \cap B) = \frac{1}{6} \), which is not zero, \( A \) and \( B \) are **not mutually exclusive**.
**Answer:**
- **\( A \) and \( B \) are not mutually exclusive events** because there is a non-zero probability (\( \frac{1}{6} \)) that both events occur together.
---
## **Summary**
- **Problem d:**
- **Correct Option:** A
- **\( P(A \mid B) = 1 \)**
- **Problem e:**
- **\( A \) and \( B \) are not mutually exclusive events.**
Feel free to reach out if you need further clarification or assistance!
Reviewed and approved by the UpStudy tutoring team
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