To determine if events A (a shape is a triangle) and B (a shape is yellow) are independent, we need to check if \( P(A|B) = P(A) \).
We can calculate each probability using the provided data from the table:
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Total outcomes = 80 (given).
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Probability of event A (P(A)):
- Number of triangles = 50.
- \( P(A) = \frac{\text{Number of triangles}}{\text{Total outcomes}} = \frac{50}{80} = 0.625 \).
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Probability of event B (P(B)):
- Number of yellow shapes = 48.
- \( P(B) = \frac{\text{Number of yellow shapes}}{\text{Total outcomes}} = \frac{48}{80} = 0.6 \).
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Probability of event A given B (P(A|B)):
- Number of yellow triangles = 30 (from the table).
- \( P(A|B) = \frac{\text{Number of yellow triangles}}{\text{Total yellow shapes}} = \frac{30}{48} = 0.625 \).
Now, we can compare \( P(A|B) \) and \( P(A) \):
- \( P(A|B) = 0.625 \)
- \( P(A) = 0.625 \)
Since \( P(A|B) = P(A) \), the events A and B are independent.
Thus, the correct response is:
Yes, because \( P(A|B) = P(A) \).