To determine \( P(A \text{ and } B) \), \( P(A) \), \( P(B) \), and the independence of events \( A \) and \( B \), we first need to define the events clearly:
- Event A: Choosing a red card. There are 26 red cards in a standard deck (13 diamonds and 13 hearts).
- Event B: Choosing an ace. There are 4 aces in a standard deck (one for each suit).
Step 1: Find \( P(A) \)
The probability of choosing a red card is: \[ P(A) = \frac{\text{Number of red cards}}{\text{Total number of cards}} = \frac{26}{52} = \frac{1}{2}. \]
Step 2: Find \( P(B) \)
The probability of choosing an ace is: \[ P(B) = \frac{\text{Number of aces}}{\text{Total number of cards}} = \frac{4}{52} = \frac{1}{13}. \]
Step 3: Find \( P(A \text{ and } B) \)
Event \( A \text{ and } B \) refers to the probability of choosing a card that is both red and an ace. There are 2 red aces in a deck (the Ace of Diamonds and the Ace of Hearts). So, the probability is: \[ P(A \text{ and } B) = \frac{\text{Number of red aces}}{\text{Total number of cards}} = \frac{2}{52} = \frac{1}{26}. \]
Step 4: Check Independence
To check whether events \( A \) and \( B \) are independent, we need to verify if: \[ P(A \text{ and } B) = P(A) \cdot P(B). \] Calculating \( P(A) \cdot P(B) \): \[ P(A) \cdot P(B) = \left(\frac{1}{2}\right) \cdot \left(\frac{1}{13}\right) = \frac{1}{26}. \] Since \( P(A \text{ and } B) = \frac{1}{26} \) and \( P(A) \cdot P(B) = \frac{1}{26} \), the events are independent.
Final Results
\[ P(A \text{ and } B) = \frac{1}{26}, \quad P(A) = \frac{1}{2}, \quad P(B) = \frac{1}{13} \] Enter 1 for dependent or 2 for independent: 2.
Thus, the final answers are:
- \( P(A \text{ and } B) = \frac{1}{26} \)
- \( P(A) = \frac{1}{2} \)
- \( P(B) = \frac{1}{13} \)
- Events \( A \) and \( B \) are independent (2).