The following two-way table shows the distribution of daily traffic and weather issues in a certain large city.   Suppose a day from this city is selected at random. Let event A = heavy traffic and event B = bad weather. Are events A and B independent? No, P(A) = P(B|A). No, P(A) ≠ P(A|B). Yes, P(A) = P(A|B). Yes, P(A) ≠ P(B|A).

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The following two-way table shows the distribution of daily traffic and weather issues in a certain large city.

 

Suppose a day from this city is selected at random. Let event A = heavy traffic and event B = bad weather. Are events A and B independent?

No, P(A) = P(B|A).
No, P(A) ≠ P(A|B).
Yes, P(A) = P(A|B).
Yes, P(A) ≠ P(B|A).
The following two-way table shows the distribution of
daily traffic and weather issues in a certain large city.
Suppose a day from this city is selected at random. Let
event A = heavy traffic and event B = bad weather. Are
events A and B independent?
Daily Traffic
O No, P(A) = P(B|A).
No, P(A) + P(A|B).
Yes, P(A) = P(AJB).
O Yes, P(A) + P(B|A).
Heavy
Traffic
Light
Traffic
Total
Bad
25
30
Weather
Good
55
15
75
Weather
Total
80
20
100
Mark this and return
Save and Exit
Next
Submit
Weather
Conditions
Transcribed Image Text:The following two-way table shows the distribution of daily traffic and weather issues in a certain large city. Suppose a day from this city is selected at random. Let event A = heavy traffic and event B = bad weather. Are events A and B independent? Daily Traffic O No, P(A) = P(B|A). No, P(A) + P(A|B). Yes, P(A) = P(AJB). O Yes, P(A) + P(B|A). Heavy Traffic Light Traffic Total Bad 25 30 Weather Good 55 15 75 Weather Total 80 20 100 Mark this and return Save and Exit Next Submit Weather Conditions
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