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According to Nielsen Media Research, the average number of hours of TV viewing per household per week in the United States is 50.4 hours. Suppose the standard deviation is 11.8 hours and a random sample of 42 U.S. households is taken.
a. What is the probability that the sample average is more than 52 hours?
b. What is the probability that the sample average is less than 47.5 hours?
c. What is the probability that the sample average is less than 40 hours? If the sample average actually is less than 40 hours, what would it mean in terms of the Nielsen Media Research ?gures?
d. Suppose the population standard deviation is unknown. If 71% of all sample means are greater than 49 hours and the population mean is still 50.4 hours, what is the value of the population standard deviation?
Now we are going to talk about continuous probability distributions. In a continuous probability distribution, the variable can have a value within a range.
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