Premium
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.