You wish to estimate the mean number of travel days per year for salespeople. The mean of a small pilot study was 150 days, with a standard deviation of 36 days.
If you want to estimate the population mean within 7 days, how many salespeople should you sample? Use the 90% confidence level.
You wish to estimate the mean number of travel days per year for salespeople. The mean...
You need to estimate the mean number of travel days per year for outside salespeople. The mean of a small pilot study was 150 days, with a standard deviation of 36 days. If you must estimate the population mean within 10 days, how many outside salespeople should you sample? Use the 95% confidence level. Number of outside salespeople _______ Z Distribution Table:
You need to estimate the mean number of travel days per year for outside salespeople. The mean of a small pilot study was 150 days, with a standard deviation of 30 days. If you must estimate the population mean within 6 days, how many outside salespeople should you sample? Use the 98% confidence level.
You need to estimate the mean number of travel days per year for salespeople. The mean of a small pilot study was 150 days, with a standard deviation of 32 days. If you must estimate the population mean within 5 days, how many salespeople should you sample? Use the 95% confidence level. (Use z Distribution Table.) (Round your answer to the next whole number.) Number of outside salespeople
You need to estimate the mean number of travel days per year for salespeople. The mean of a small pilot study was 150 days, with a standard deviation of 48 days. If you must estimate the population mean within 12 days, how many salespeople should you sample? Use the 98% confidence level. (Use z Distribution Table.) (Round your answer to the next whole number.)
You need to estimate the mean number of travel days per year for outside salespeople. The mean of a small pilot study was 150 days, with a standard deviation of 42 days. If you must estimate the population mean within 8 days, how many outside salespeople should you sample? Use the 95% confidence level. (Use z Distribution Table.) (Round up your answer to the next whole number.) Number of outside salespeople
You need to estimate the mean number of travel days per year for outside salespeople. The mean of a small pilot study was 160 days, with a standard deviation of 12 days. If you must estimate the population mean within 2 days, how many outside salespeople should you sample? Use the 98% confidence level. (Round the intermediate calculation to 3 decimal places. Round the final answer to the nearest whole number.) Number of outside salespeople
you need to estimate the mean number of travel days per year for outside salespeople. The mean of a small pilot study was 150 days, with a standard deviation of 36 days. If you must estimate the population mean within 10 days, how many outside salespeople should you sample? Use the 95 percent confidence level. (Round up your answer to the next higher whole number.) Number of outside salespeople
we wish to estimate μ, the mean length of the fish in our pond. we take a random sample of 65 fish and measure their lengths. for this sample, we find an average length of 4.53 cm, and a standard deviation of 0.8cm. i) using our observations as a pilot study, determine the sample size needed to estimate the mean μ within 0.1cm with 95% confidence. ii) find the upper confidence interval for μ
QUESTION7 4 days. On the basis of the study conducted last suppose you want to estimate with 95% confidence interval, the population mean processing time to within year, you believe the standard deviation is 25 days. Determine the minimum sample size rer.ba.^^ìh-. n.eeet, т.c , nrpenr Ai T4FN.FlorMan
7. You want to estimate the mean weight loss of people one year after using a popular weight-loss (1 point) program being advertised on TV. How many people on that program must be surveyed if we want to be 95% confident that the sample mean weight loss is within 0.25 ib of the true population mean? Assume that the population standard deviation is known to be 10.6 lb. 6907 0 4865 O 84 O6906 3. Given the standard deviation of...