Construct · 1 fields · 1 citations

size: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed
size1 CONSTRUCTSize of a testNEYMAN–PEARSON · TYPE I

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Statistics

the probability that a hypothesis test rejects the null hypothesis when it is true, its Type I error rate.

In statistics, the size of a hypothesis test is the probability of rejecting the null hypothesis when it is in fact true, the supremum of the Type I error rate over the null, usually fixed at a level such as 0.05. Lehmann and Romano's Testing Statistical Hypotheses develops the concept within the Neyman–Pearson framework, where size is bounded before power is maximised. The referent is a controlled error probability of a decision rule, sharing only the word with a painter's sealant.[1]

Unit
The maximum probability of a false rejection of a true null hypothesis
Recovery means
Not applicable
Measured by
Computed as the supremum over the null of the rejection probability; checked against the chosen significance level

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Nearby constructs

hypothesis2 fields · 2 citationsjingle · one word, two constructspower6 fields · 13 citationsjingle · one name, six constructsabsolute2 fields · 2 citationsjingle · one word, two constructs

References

  1. Lehmann, E. L., & Romano, J. P. (2005). Testing statistical hypotheses (3rd ed.). Springer. ISBN 9780387988641

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