The Greek letter \(\mu\) is the symbol for the population mean and \(\overline{x}\) is the symbol for the sample mean. To calculate the mean we are told by the formula to add up all these numbers, age...The Greek letter \(\mu\) is the symbol for the population mean and \(\overline{x}\) is the symbol for the sample mean. To calculate the mean we are told by the formula to add up all these numbers, ages in this case, and then divide the sum by 10, the total number of animals in the sample. For this example the indexing notation would be \(i = 1\) and because it is a sample we use a small \(n\) on the top of the \(\Sigma\) which would be 10.
The Greek letter \(\mu\) is the symbol for the population mean and \(\overline{x}\) is the symbol for the sample mean. To calculate the mean we are told by the formula to add up all these numbers, age...The Greek letter \(\mu\) is the symbol for the population mean and \(\overline{x}\) is the symbol for the sample mean. To calculate the mean we are told by the formula to add up all these numbers, ages in this case, and then divide the sum by 10, the total number of animals in the sample. For this example the indexing notation would be \(i = 1\) and because it is a sample we use a small \(n\) on the top of the \(\Sigma\) which would be 10.
The Greek letter \(\mu\) is the symbol for the population mean and \(\overline{x}\) is the symbol for the sample mean. To calculate the mean we are told by the formula to add up all these numbers, age...The Greek letter \(\mu\) is the symbol for the population mean and \(\overline{x}\) is the symbol for the sample mean. To calculate the mean we are told by the formula to add up all these numbers, ages in this case, and then divide the sum by 10, the total number of animals in the sample. For this example the indexing notation would be \(i = 1\) and because it is a sample we use a small \(n\) on the top of the \(\Sigma\) which would be 10.
