To determine whether the events are independent, we can use the definition of independent events. Two events A and B are independent if:
\[ P(A \cap B) = P(A) \times P(B) \]
In this scenario, let:
- Event A = "buy popcorn"
- Event B = "buy juice"
From the information given:
- \( P(A) = 0.5 \) (the probability of buying popcorn)
- \( P(B) = 0.4 \) (the probability of buying juice)
- \( P(A \cap B) = 0.2 \) (the probability of buying both popcorn and juice)
Now we can calculate \( P(A) \times P(B) \):
\[ P(A) \times P(B) = 0.5 \times 0.4 = 0.2 \]
Now we compare \( P(A \cap B) \) and \( P(A) \times P(B) \):
\[ P(A \cap B) = 0.2 \] \[ P(A) \times P(B) = 0.2 \]
Since \( P(A \cap B) = P(A) \times P(B) \), we conclude that the events "buy popcorn" and "buy juice" are independent.
So, the final answer is 2 for independent events.