Suppose that the mean height for Division III male basketball players is 75 inches with a standard deviation of 3 inches. Suppose we randomly sample 40 players and compute their mean height. Find the middle 92% for the mean height of 40 players from this distribution.
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Suppose that the mean height for Division III male basketball players is 75 inches with a...
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)
Expand Suppose that heights of male collegiate basketball players in a country are normally distributed with a mean of 75 in and a standard deviation of 3.6 in. A researcher wants to determine if the mean height of male collegiate basketball players in one particular conference is different from the national average. She obtains email addresses for all of the players in this conference and emails them asking for them to reply with their height Of the 573 emails she...
The population standard deviation for the height of high school basketball players is 3.3 inches. If we want to be 95% confident that the sample mean height is within 1.8 inch of the true population mean height, how many randomly selected students must be surveyed? Fill in the blank: n=
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?
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)
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...
1/ The height of high school basketball players is known to be normally distributed with a standard deviation of 1.75 inches. In a random sample of eight high school basketball players, the heights (in inches) are recorded as 75, 82, 68, 74, 78, 70, 77, and 76. Construct a 95% confidence interval on the average height of all high school basketball players.
Male college basketball players have to weigh-in during season, and this information is published. We can, therefore, know the standard deviation of the entire population. Suppose we do not know the population mean and wanted to estimate it. Suppose we took a random sample of 25 male college basketball players and recorded their weights. The sample mean was found to be 220 lbs. The population standard deviation was 5 lbs. With a .99 probability, the margin of error is approximately...