he probability that an appliance repair person arrives within the window of time scheduled by the company is 0.65.


What is the correct interpretation of this probability?


65% of the variation in the time the repair person is late can be attributed to unexplained factors such as traffic.

If you take a very large sample of the times the repair person is scheduled to arrive, the person will be on time approximately 65% of the time.

For every 100 minutes the repair person is scheduled to be at someone’s home, the person is going to be running 65 minutes late.

The appliance repair person will be late to 35% of his appointments today.