A population mean is the average of whatever value you're measuring in a given population.

A population mean is the true mean of the entire population of the data set while a sample mean is the mean of a small sample of the population.

Population Mean The term population mean, which is the average score of the population on a given variable, is represented by: μ = (Σ X i) / N The symbol ‘μ’ represents the population mean. The symbol ‘Σ X i ’ represents the sum of all scores present in the population (say, in this case) X 1 X 2 X 3 and so on.

population mean is the arithmetic mean of the whole population. For large groups (say all adult males in the united states), finding this mean is impractical. But we are not lost. We can use sampling to estimate the population mean (which we cannot know for certain).

A normal distribution curve showing a mean of 15. The population mean is an average of a group characteristic. The group could be a person, item, or thing, like “all the people living in the United States” or “all dog owners in Georgia”. A characteristic is just an item of interest.