Consider a random variable Y. What is the difference between the sample average and the population mean? The population mean is a true measure of the central tendency of the distribution of Y whereas the sample average is an estimator of the population mean. Both the population mean and the sample average are estimators of the central tendency of the distribution of Y. The sample average is a true measure of the central tendency of the distribution of Y whereas the population mean is an estimator of the sample average. Both the population mean and the sample average are true measures of the central tendency of the distribution of Y.

Question

Immanuel Rivas

Mathematics

24 January, 14:46

Consider a random variable Y. What is the difference between the sample average and the population mean? The population mean is a true measure of the central tendency of the distribution of Y whereas the sample average is an estimator of the population mean. Both the population mean and the sample average are estimators of the central tendency of the distribution of Y. The sample average is a true measure of the central tendency of the distribution of Y whereas the population mean is an estimator of the sample average. Both the population mean and the sample average are true measures of the central tendency of the distribution of Y.

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Jovani Padilla · Answer 1

The population mean is a true measure of the central tendency of the distribution of Y whereas the sample average is an estimator of the population mean.

Step-by-step explanation:

Out of all the statements given the correct statement is:

The population mean is a true measure of the central tendency of the distribution of Y whereas the sample average is an estimator of the population mean.

A sample mean is calculated from a dataset that is sampled out of the entire population data. And this sample mean is used to estimate or predict the population mean