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Point estimate

As explained in Grokking Statistics

A single numerical estimate of an unknown population parameter.

A point estimate is one number used to estimate an unknown population parameter. Because surveying an entire population is usually impractical, a sample provides a workable, imperfect estimate. section 5.2

Sleep survey

Suppose a survey of 45 people finds an average of 6.5 hours of sleep last night. The sample mean, 6.5 hours, becomes the point estimate for the population’s mean sleep time. section 5.2

A single sample cannot reveal exactly where its mean lies among all possible sample means. Treat the point estimate as useful but uncertain, then use a confidence interval to infer a plausible range for the population mean. section 5.2

How Grokking Statistics covers it

How deep it goes
Defines the estimate and illustrates its uncertainty, then defers range construction to confidence intervals and critical Z-values.
Examples
Uses a 45-person sleep survey and a golden-retriever weight sample to show point estimates and their uncertainty.
What it assumes
Assumes the distinction between samples and populations while introducing point estimates through everyday survey data.
What you can do after
Evaluate a sample mean as a useful but imperfect estimate of a population mean and recognize why a confidence interval helps.
How it connects
Connects population parameters with samples, sample means, the central limit theorem, and confidence intervals.

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This explainer was generated by Manning's knowledge graph from the text of Grokking Statistics. The section links point to the parts of the book it draws on.