The sample mean will seldom be the same as the population mean due to sampling error. See the related link.
Chat with our AI personalities
The population mean is the mean value of the entire population. Contrast this with sample mean, which is the mean value of a sample of the population.
The sample mean is an unbiased estimator of the population mean because the average of all the possible sample means of size n is equal to the population mean.
It means that there are is no variation from the mean. In other words, all values in your sample are identical.
With a good sample, the sample mean gets closer to the population mean.
That the key characteristics of the population are reflected in the sample.