One researcher wishes to estimate the mean number of hours that high school students spend watching...
One researcher wishes to estimate the mean number of hours that high school students spend watching TV on a weekday. A margin of error of 0.29 0.29 hour is desired. Past studies suggest that a population standard deviation of 2.4 2.4 hours is reasonable. Estimate the minimum sample size required to estimate the population mean with the stated accuracy. The required sample size is nothing . (Round up to the nearest whole numbe These are the only numbers I was...
An advertising executive wants to estimate the mean weekly amount of time consumers spend watching traditional television daily. Based on previous studies, the standard deviation is assumed to be 26 minutes. The executive wants to estimate, with 99% confidence, the mean weekly amount of time to within ±33 minutes. a. What sample size is needed? b. If 95% confidence is desired, how many consumers need to be selected? a. The sample size required for 99% confidence is ___
A researcher wants to estimate the mean IQ score for a population of high school students. How many students will she have to select for the IQ tests if she wants 95% confidence the sample mean is within 3 IQ points of the population mean? Assume the population standard deviation is 15.
A researcher wants to estimate how many hours per week students who love off campus spend driving to campus. A simple random sample of 84 students had a mean of 5.0 hours of driving. Construct and interpret a 90% confidence interval for the mean number of hours a student drives per week. Assume the population standard deviation is known to be 0.3 hours per week.
5. Mike wishes to estimate the mean number birds that visit his bird feeder each day. The population standard deviation (0) is known from past studies to equal 12 birds. If Mike wishes to be 90% confident of getting an estimate within 3 birds of the true mean, what sample size is required?
An advertising executive wants to estimate the mean weekly amount of time consumers spend watching traditional television daily. Based on previous studies, the standard deviation is assumed to be 22 minutes. The executive wants to estimate, with 99% confidence, the mean weekly amount of time to within ± 6 minutes. a. What sample size is needed? b. If 95% confidence is desired, how many consumers need to be selected? (Round up to the nearest integer.)
Reconsider Dr. Sameer's research question about how much time Cal Poly students spend on watching television. Suppose that for the random sample of 100 Cal Poly students the mean number of hours per day spent watching TV turns out to be 3.01 hours, and the standard deviation of the number of hours per day spent watching TV turns out to be 1.97 hours. Is the number 1.97 a parameter or a statistic? Assign an appropriate symbol to this number. Find...
QUESTION 5 In order to determine how many hours per week freshmen college students watch television, a random sample of 256 students was selected. It was determined that the students in the sample spent an average of 14 hours with a standard deviation of 3.6 hours watching TV per week. a. Provide a 95% confidence interval estimate for the average number of hours that all college freshmen spend watching TV per week. Assume that a sample of 66 students was...
a-c please 3. In order to determine how many hours per week freshmen college students watch television, a random sample of 25 students was selected. It was determined that the students in the sample spent an average of 19.5 hours with a sample standard deviation of 3.9 hours watching TV per week. Please answer the following questions: (a) Provide a 95% confidence interval estimate for the average number of hours that all college freshmen spend watching TV per week. (b)...
A sample of 200 high school students were asked how many hours per week they spend watching television. The following frequency distribution presents the results. Time Spent Watching Television Number of hours Frequency 0.0-3.9 38 4.0.7.9 38 8.0-11.9 34 12.0-15,9 23 16.0-19.9 24 20.0-23.9 23 24.0-27.9 20