From a sample with n=12, the mean number of televisions per household is 3 with a standard deviation of 1 television. Using Chebychev's Theorem, determine at least how many of the households have between 1 and 5 televisions. At least ____ of the households have between 11 and 55 televisions
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From a sample with n = 28 , the mean number of televisions per household is 3 with a standard deviation of 1 television . Using Chebychev's Theorem , determine at least how many of the households have between 1 and 5 televisions. At least ______of the households have between 1 and 5 televisions .
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From a sample with n=24, the mean number of televisions per household is 2 with a standard deviation of 1 television. Using Chebyshev's theorem, determine at least how many households have between 0 and 4 televisions. At least __________ households have between 0 and 4 televisions. Simplify your answer.
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Television viewing reached a new high when the Nielsen Company reported a mean daily viewing time of 8.35 hours per household $(U S A$ Today, November $11,2009) .$ Use a normal probability distribution with a standard deviation of 2.5 hours to answer to answer the following questions about daily television viewing per household. a. What is the probability that a household views television between 5 and 10 hours a day? b. How many hours of television viewing must a household have in order to be in the top 3$\%$ of all television viewing households? c. What is the probability that a household views television more than 3 hours a day?
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