A random sample of college football players had an average height of 66.5 inches. Based on this sample, (64.2, 67.1) found to be a 95% confidence interval for the population mean height of college football players. Select the correct answer to interpret this interval.
Here, 95% cI (64.2, 67.1) is given
we are 95% confident that the population mean height of college football players is between 64.2 and 67.1
A random sample of college football players had an average height of 66.5 inches. Based on...
A random sample of college basketball players had an average height of 63.45 inches. Based on this sample, (62.1, 64.8) found to be a 98% confidence interval for the population mean height of college basketball players. Select the correct answer to interpret this interval. We are 98% confident that the population mean height of college basketball players is between 62.1 and 64.8 inches. There is a 98% chance that the population mean height of college basketball players is between 62.1...
A randomly selected sample of college football players has the following heights in inches. 67, 63, 66, 63, 62, 63, 62, 65, 69, 61, 68, 63, 64, 68, 66, 64, 66, 70, 68, 65, 62, 66, 68, 62, 67, 66, 70, 71, 62, 64, 67, 62 Compute a 99% confidence interval for the population mean height of college football players based on this sample and fill in the blanks appropriately. A= ___< μ <___ (Keep 3 decimal places)
The population standard deviation for the height of college basketball players is 3.1 inches. If we want to estimate 90% confidence interval for the population mean height of these players with a 1 margin of error, how many randomly selected players must be surveyed? (Round up your answer to nearest whole number)
The population standard deviation for the height of college basketball players is 2.9 inches. If we want to estimate 99% confidence interval for the population mean height of these players with a 0.5 margin of error, how many randomly selected players must be surveyed? ____ (Round up your answer to nearest whole number)
The population standard deviation for the height of college basketball players is 3.5 inches. If we want to estimate 90% confidence interval for the population mean height of these players with a 0.9 margin of error, how many randomly selected players must be surveyed? (Round up your answer to nearest whole number)
The population standard deviation for the height of college basketball players is 3.2 inches. If we want to estimate 92% confidence interval for the population mean height of these players with a 0.8 margin of error, how many randomly selected players must be surveyed? _____ (Round up your answer to nearest whole number)
A randomly selected sample of college baseball players has the following heights in inches. 68, 63, 66, 63, 68, 63, 65, 66, 65, 67, 65, 65, 69, 71, 65, 70, 61, 66, 69, 62, 65, 64, 70, 63, 71, 63, 68, 68, 62, 71, 62, 65 Compute a 95% confidence interval for the population mean height of college baseball players based on this sample and fill in the blanks appropriately. < μ < (Keep 3 decimal places)
The population standard deviation for the height of college basketball players is 3.2 inches. If we want to estimate 99% confidence interval for the population mean height of these players with a 0.4 margin of error, how many randomly selected players must be surveyed?
Question number 7 The population standard deviation for the height of college basketball players is 3 inches. If we want to estimate 95% confidence interval for the population mean height of these players with a 0.5 margin of error, how many randomly selected players must be surveyed? (Round us your answer to nearest whole number) I don't know
A random sample of 16 men have a mean height of 67.5 inches and a standard deviation of 1.8 inches. Construct a 99% confidence interval for the population standard deviation,σ.