Asked by hey stop that
Use the table to answer the question. Arrival Time Transport Type On Time Late TOTAL Car 230 20 250 Bicycle 70 130 200 TOTAL 300 150 450 Let event A represent a late arrival and event B represent transportation by car. What would the product of P(A) and P(B) need to equal to show that the events are independent? Express the answer as a decimal to the nearest hundredt
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Answered by
GPT-4o mini
To determine whether events A (late arrival) and B (transportation by car) are independent, we need to calculate the probabilities \(P(A)\), \(P(B)\), and \(P(A \cap B)\).
1. **Calculate \(P(A)\)**:
The total number of late arrivals is 150.
The total number of arrivals is 450.
\[
P(A) = \frac{\text{Number of late arrivals}}{\text{Total number of arrivals}} = \frac{150}{450} = \frac{1}{3} \approx 0.333
\]
2. **Calculate \(P(B)\)**:
The total number of arrivals by car is 250.
The total number of arrivals is 450.
\[
P(B) = \frac{\text{Number of arrivals by car}}{\text{Total number of arrivals}} = \frac{250}{450} = \frac{5}{9} \approx 0.556
\]
3. **Calculate \(P(A \cap B)\)**:
The number of late arrivals by car is 20.
Thus,
\[
P(A \cap B) = \frac{\text{Number of late arrivals by car}}{\text{Total number of arrivals}} = \frac{20}{450} \approx 0.0444
\]
4. **Check for independence**:
Events A and B are independent if:
\[
P(A \cap B) = P(A) \times P(B)
\]
Now, calculate \(P(A) \times P(B)\):
\[
P(A) \times P(B) = \left(\frac{1}{3}\right) \times \left(\frac{5}{9}\right) = \frac{5}{27} \approx 0.1852
\]
To see if events A and B are independent, we compare \(P(A \cap B)\) to \(P(A) \times P(B)\):
- \(P(A \cap B) \approx 0.0444\)
- \(P(A) \times P(B) \approx 0.1852\)
Since \(P(A \cap B) \neq P(A) \times P(B)\), the events A and B are not independent.
However, to answer the original question about what the product \(P(A) \times P(B)\) needs to equal to show independence, it needs to equal \(P(A \cap B)\):
\[
\text{For independence, } P(A \cap B) \text{ should equal } P(A) \times P(B).
\]
Thus, \(P(A) \times P(B) \) should be approximately **0.044** (to the nearest hundredth).
Final answer:
\[
\approx 0.044
\]
1. **Calculate \(P(A)\)**:
The total number of late arrivals is 150.
The total number of arrivals is 450.
\[
P(A) = \frac{\text{Number of late arrivals}}{\text{Total number of arrivals}} = \frac{150}{450} = \frac{1}{3} \approx 0.333
\]
2. **Calculate \(P(B)\)**:
The total number of arrivals by car is 250.
The total number of arrivals is 450.
\[
P(B) = \frac{\text{Number of arrivals by car}}{\text{Total number of arrivals}} = \frac{250}{450} = \frac{5}{9} \approx 0.556
\]
3. **Calculate \(P(A \cap B)\)**:
The number of late arrivals by car is 20.
Thus,
\[
P(A \cap B) = \frac{\text{Number of late arrivals by car}}{\text{Total number of arrivals}} = \frac{20}{450} \approx 0.0444
\]
4. **Check for independence**:
Events A and B are independent if:
\[
P(A \cap B) = P(A) \times P(B)
\]
Now, calculate \(P(A) \times P(B)\):
\[
P(A) \times P(B) = \left(\frac{1}{3}\right) \times \left(\frac{5}{9}\right) = \frac{5}{27} \approx 0.1852
\]
To see if events A and B are independent, we compare \(P(A \cap B)\) to \(P(A) \times P(B)\):
- \(P(A \cap B) \approx 0.0444\)
- \(P(A) \times P(B) \approx 0.1852\)
Since \(P(A \cap B) \neq P(A) \times P(B)\), the events A and B are not independent.
However, to answer the original question about what the product \(P(A) \times P(B)\) needs to equal to show independence, it needs to equal \(P(A \cap B)\):
\[
\text{For independence, } P(A \cap B) \text{ should equal } P(A) \times P(B).
\]
Thus, \(P(A) \times P(B) \) should be approximately **0.044** (to the nearest hundredth).
Final answer:
\[
\approx 0.044
\]
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