Point estimate

A point estimate is a single number computed from sample data and used as the best guess for an unknown population parameter.

A point estimate is your one-number summary of a parameter before you attach any margin of uncertainty. Common ones are the sample mean xˉ\bar{x} (read x-bar) for the population mean μ\mu (the Greek letter mu), and the sample proportion p^\hat{p} (read p-hat) for the population proportion pp. For example, if 63 of 200 sampled voters approve, the point estimate of the population approval rate is p^=63/200=0.315\hat{p} = 63/200 = 0.315. A point estimate alone hides sampling variability, so it is usually paired with a margin of error to form a confidence interval.

More sampling distributions terms, or browse the full statistics glossary.