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Standard Error

Definition

The standard error is a measure of the variability or spread of sample means around the population mean. It tells us how much we can expect sample means to differ from the true population mean.

Analogy

Imagine you have a group of friends who are all trying to estimate the average height of people in your school. Each friend randomly selects a few students and measures their heights. The standard error would be like the range of heights that each friend gets, showing how much their estimates vary from each other and from the actual average height.

Related terms

Confidence Interval: A confidence interval is a range of values that likely contains the true population parameter with a certain level of confidence.

Sampling Distribution: A sampling distribution is a theoretical distribution that shows all possible sample statistics for a given sample size taken from a population.

Margin of Error: The margin of error is an interval around an estimated value that accounts for uncertainty due to sampling variability. It indicates how close our estimate might be to the true population parameter.



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© 2024 Fiveable Inc. All rights reserved.

AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.