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 is less than 29 hours? If the sample average actually is less than 40 hours, what would it mean in terms of the Nielsen Media Research figures?
d. Suppose the population standard deviation is unknown. If 75% of all sample means are greater than 35 hours and the population mean is still 36.07 hours, what is the value of the population standard deviation?
According to Nielsen Media Research, the average number of hours of TV viewing by adults (18...
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 8.6 hours and a random sample of 42 adults is taken. Appendix A Statistical Tables a. What is the probability that the sample average is more than 35 hours? b. What is the probability that the sample average is less than 36.7 hours? c. What is the probability...
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 9.7 hours and a random sample of 43 adults is taken. Appendix A Statistical Tables 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 36.5 hours? c. What is the probability...
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...
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?...
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
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 1.1. 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...
Nielsen Media Research indicates that the mean CNN viewing audience last year was about 600,000 viewers per day. During 40 randomly chosen days during the first half of this year, the daily audience was 612,000 viewers with a sample standard deviation of 65,000 viewers. (a) What hypotheses should the CNN management formulate to test whether the CNN viewing audience has increased this year? (b) Use the critical value approach to test these hypotheses with significance level 0.05.
In 2012, the Nielsen company reported that Americans watch 34 hours on average of TV per week. Imagine the standard deviation is 9.5 hours. If Gail wants her family to watch very little TV and hopes they will fall at the 15th percentile for TV viewing, how many hours is the limit to their viewing hours each week? A. 33.71 B. 26.28 C. 24.22 D. 31.83 Sometimes the null hypothesis is considered to be Select one: A. the exciting hypothesis....
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.