Question 1
A local TV station wanted to report average gasoline prices in the early summer of 2000 in Illinois. Which sample might evidence bias on the part of the reporter?
◦ Prices reported by the station employees
◦ Prices reported by 30 gasoline stations uniformly distributed throughout the state
◦ Prices reported by the first 30 callers to respond to a request for the last price paid for gasoline
◦ Prices reported by 30 gasoline stations uniformly distributed throughout the viewing area
Question 2
A college student who does laundry infrequently wants to determine the effect of blueing on white clothes. Which sample is most likely to give biased data?
◦ Two loads of personal wash, one with, one without blueing
◦ The reports of an internet chatroom on laundry techniques
◦ Reports of two friends, one of whom was given blueing
◦ Two loads of wash, one personal, one of a friend, the blueing assigned by a coin flip
White lion
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