Six important differences between sample mean and population mean are discussed in the article. The term is often contrasted with the sample, which nothing but a subset or a part of the population that represents the entire group.

Sample Mean vs Population Mean “Mean” is the average of all the values in a sample. Population denotes a large group consisting of the element having at least one common feature. Both “example” and “sample” imply a part and also act like representatives of a whole. It can be calculated by adding up all the values and then dividing the sum total by the number of values in the sample.. Population Mean When the provided list represents a statistical population, then the mean is called the population mean. At first glance, “example” and “sample” appear convey the same meaning, but there are slight yet important differences between the two concepts. Sample mean versus population mean The following video shows how to find the sample mean and highlights the difference between the mean of a sample and the mean of a population. A sample mean is the average value of a sample while the sample proportion is amount of the sample that shares a commonality relative to its whole. Sample is represented by x̄ (pronounced as x bar). There are a few differences between population and sample which are presented in this article in detail. On the other hand, population mean is labelled as μ … In statistics, we use data from a random sample to represent the population at large. From that sample mean, we can infer things about the population mean.