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# What is point estimate of population mean

Definition of point estimate. In simple terms, any statistic can be a point estimate. A statistic is an estimator of some parameter in a population. A point estimate of a population parameter is a single value used to estimate the population parameter. For example, the sample mean x is a point estimate of. A point estimate of a population parameter is a single value of a statistic. For example, the sample mean x is a point estimate of the population mean μ. Similarly.

You have seen that the samplemean equation is an unbiased estimate of the population mean μ. Another way to say this is that equation is the best point. An R tutorial on computing the point estimate of population mean from a simple random sample. In statistics, point estimation involves the use of sample data to calculate a single value which is to serve as a "best guess" or "best estimate" of an unknown population parameter (for example, the population mean).

The most fundamental point and interval estimation process involves the estimation of a population mean. Suppose it is of interest to estimate the population. Point estimation, in statistics, the process of finding an approximate value of some parameter—such as the mean (average)—of a population from random. In this lesson, you will be introduced to the point estimates used to estimate population parameters, the formula to calculate each, and how to.

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