Using the standard Wald confidence interval for a population proportion hypothesis test is a common mistake | Zendy

Yang Shitao | Zendy; Black Ken | Zendy

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Using the standard Wald confidence interval for a population proportion hypothesis test is a common mistake

Author(s) -

Yang Shitao,

Black Ken

Publication year - 2018

Publication title -

teaching statistics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.425

H-Index - 13

eISSN - 1467-9639

pISSN - 0141-982X

DOI - 10.1111/test.12184

Subject(s) - wald test , statistics , confidence interval , mistake , standard error , population , mathematics , test (biology) , sample (material) , type i and type ii errors , interval (graph theory) , tolerance interval , econometrics , statistical hypothesis testing , demography , biology , combinatorics , paleontology , chemistry , chromatography , sociology , political science , law

Summary Employing a Wald confidence interval to test hypotheses about population proportions could lead to an increase in Type I or Type II errors unless the hypothesized value, p 0, is used in computing its standard error rather than the sample proportion.

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