Based on data obtained from AC Nielsen, the mean number of televisions in a household in the U.S. is 2.24, with a standard deviation of 1.38. A random sample of 40 households is obtained,
a) What is the probability the mean number of television in the sample is larger than 3?
B) What is the probability that the average number of televisions from the sample is between 2 to 4?
Based on data obtained from AC Nielsen, the mean number of televisions in a household in...
7. Number of Televisions Based on data obtained from AC Nielsen, the mean number of televisions in a household in the United States is 2.24. Assume that the population standard deviation number of television sets in the United States is 1.38. (a) Do you believe the shape of the distribution of number of television sets follows a normal distribution? Why or why not? (b) A random sample of 40 households results in a total of 102 television sets, What is...
According to the Nielsen Company, the mean number if TV sets in a U.S. household in 2013 was 2.24. Assume the standard deviation is 1.4. A sample of 85 households is drawn. whatnis the probability that the sample mean number of TV sets is greater than 2?
TV sets: According to the Nielsen Company, the mean number of TV sets in a U.S. household in 2013 was 2.24. Assume the standard deviation is 1.2.A sample of 90 households is drawn. Part 1 out of 5 What is the probability that the sample mean number of TV sets is greater than 2? Round the answer to four decimal places. The probability that the sample mean number of TV sets is greater than 2 is HEC NEXT
tv sets: according to the Nielsen company, the mean number of TV sets in a U.S. household in 2013 was 2.24. Assume the standard deviation is 1.4. a sample of 90 households is drawn. Find the 30th percentile of the sample mean.
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?...
Question 1 (15 marks) 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. (a) Suppose the population standard deviation is 11.8 hours and a random sample of 42 U.S. household is taken, what is the probability that the sample mean TV viewing time is between 47.5 and 52 hours? (b) Suppose the population mean and sample size is still 50.4 hours and 42, respectively, but...
TV sets: According to the Nielsen Company, the mean number of TV sets in a U.S. household in 2013 was 2.24. Assume the standard deviation is 1.1. A sample of 90 households is drawn. Use the Cumulative Normal Distribution Table if needed. Part 1 of 5 What is the probability that the sample mean number of TV sets is greater than 27 Round your answer to four decimal places. The probability that the sample mean number of TV sets is...
A study conducted by a TV station showed the number of televisions per household and the corresponding probabilities for each. Find the mean, variance, and standard deviation. x (Number of TV’s) P(x) xP(x) x2 x2P(x) 1 0.32 2 0.51 3 0.12 4 0.05 Find the probability a household owns more than 2 televisions? (1 pt.) Find the probability a household owns at most 2 televisions? (1 pt.) Find the mean, variance, and standard deviation. (Fill in the table)...
Television viewing reached a new high when the Nielsen Company reported a mean daily viewing time of 8.35 hours per household (USA Today, November 11, 2009). Use a normal probability distribution with a standard deviation of 2.5 hours 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...
According to Nielsen Media Research, the average number of hours of TV viewing by adults (18 and over) per week in the United States is 36.07 hours. Suppose the standard deviation is 9.6 hours and a random sample of 54 adults is taken. a. What is the probability that the sample average is more than 37 hours? b. What is the probability that the sample average is less than 38.5 hours? c. What is the probability that the sample average...