To find the probability \( P(A \text{ and } B) \) and determine if events A and B are independent, let's first define the events:
- Event A: The sum of the rolled numbers is 7.
- Event B: The first number is 4.
Step 1: Calculate \( P(A \text{ and } B) \)
To find \( P(A \text{ and } B) \), we need to determine the scenarios where both events A and B occur simultaneously.
- If the first die shows 4 (for event B), we need the second die to roll a number such that the total sum is 7. This means: \[ 4 + x = 7 \Rightarrow x = 3 \]
So, the only outcome that satisfies both A and B is \( (4, 3) \).
Now, let's count the total number of outcomes when rolling two number cubes. There are: \[ 6 \times 6 = 36 \text{ total outcomes.} \]
Therefore, there is only 1 favorable outcome for both events:
- \( (4, 3) \)
Now we can calculate the probability: \[ P(A \text{ and } B) = \frac{\text{Number of favorable outcomes}}{\text{Total outcomes}} = \frac{1}{36} \approx 0.02778 \]
Rounding this to the nearest hundredth: \[ P(A \text{ and } B) \approx 0.03 \]
Step 2: Check Independence of Events A and B
Events A and B are independent if: \[ P(A \text{ and } B) = P(A) \cdot P(B) \]
Calculate \( P(A) \):
To calculate \( P(A) \), we find how many outcomes yield a sum of 7:
- The combinations that yield a total of 7 when rolling two dice are:
- \( (1, 6) \)
- \( (2, 5) \)
- \( (3, 4) \)
- \( (4, 3) \)
- \( (5, 2) \)
- \( (6, 1) \)
There are 6 successful outcomes, so: \[ P(A) = \frac{6}{36} = \frac{1}{6} \]
Calculate \( P(B) \):
For event B (first number is 4):
- The combinations where the first die shows 4 are:
- \( (4, 1) \)
- \( (4, 2) \)
- \( (4, 3) \)
- \( (4, 4) \)
- \( (4, 5) \)
- \( (4, 6) \)
There are 6 successful outcomes, so: \[ P(B) = \frac{6}{36} = \frac{1}{6} \]
Calculate \( P(A) \cdot P(B) \): \[ P(A) \cdot P(B) = \frac{1}{6} \cdot \frac{1}{6} = \frac{1}{36} \]
Conclusion:
Since: \[ P(A \text{ and } B) = \frac{1}{36} \quad \text{and} \quad P(A) \cdot P(B) = \frac{1}{36} \]
Events A and B are independent.
Thus, the answers are:
- \( P(A \text{ and } B) \approx 0.03 \)
- Events A and B are independent.