To determine the product of \( P(A) \) and \( P(B) \) needed to show that the events are independent, we first need to calculate \( P(A) \) and \( P(B) \).
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Finding \( P(A) \): Event A (Late Arrival) consists of 150 individuals who are late out of a total of 450. \[ P(A) = \frac{\text{Number of late arrivals}}{\text{Total individuals}} = \frac{150}{450} = \frac{1}{3} \approx 0.33 \]
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Finding \( P(B) \): Event B (Transportation by Car) consists of 250 individuals who use a car out of a total of 450. \[ P(B) = \frac{\text{Number taking car}}{\text{Total individuals}} = \frac{250}{450} = \frac{5}{9} \approx 0.56 \]
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Finding the product \( P(A) \times P(B) \): \[ P(A) \times P(B) = \left(\frac{1}{3}\right) \times \left(\frac{5}{9}\right) = \frac{5}{27} \approx 0.1852 \]
To express this as a decimal rounded to the nearest hundredth: \[ \frac{5}{27} \approx 0.19 \]
Thus, the product \( P(A) \times P(B) \) that would show the events are independent is: 0.19