Statistics with Technology 2eXYZ Homework Edition

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Chapter 8: Estimation

A point estimator is just the statistic that you have calculated previously. As an example, when you wanted to estimate the population mean, μ\mu, the point estimator is the sample mean, x¯\overline{x}. To estimate the population proportion, p, you use the sample proportion, p^\hat{p}. In general, if you want to estimate any population parameter, we will call it θ\theta, you use the sample statistic, θ^\hat{\theta}.

Point estimators are really easy to find, but they have some drawbacks. First, if you have a large sample size, then the estimate is better. But with a point estimator, you don’t know what the sample size is. Also, you don’t know how accurate the estimate is. Both of these problems are solved with a confidence interval.

Adapted from Statistics with Technology, 2nd Edition, by Kathryn Kozak (Coconino Community College), © Kathryn Kozak, licensed under CC BY-SA 4.0. Changes were made. License: CC-BY-SA-4.0.

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