|
|
|
|
| LEADER |
01000caa a22002652 4500 |
| 001 |
JST052627586 |
| 003 |
DE-627 |
| 005 |
20240621210134.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
240126s1984 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.2307/2981577
|2 doi
|
| 035 |
|
|
|a (DE-627)JST052627586
|
| 035 |
|
|
|a (JST)2981577
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Yates, F.
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Tests of Significance for 2 × 2 Contingency Tables
|
| 264 |
|
1 |
|c 1984
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
| 520 |
|
|
|a Fisher's exact test, and the approximation to it by the continuity-corrected χ<sup>2</sup> test, have repeatedly been attacked over the past 40 years, recently with the support of extensive computer exercises. The present paper argues, on commonsense grounds, supported by simple examples, that these attacks are misconceived, and are mainly due to uncritical acceptance of the Neyman-Pearson approach to tests of significance, the use of nominal levels, and refusal to accept the arguments for conditioning on the margins. Two-sided tests have also added to the confusion; it is argued that the best definition of a two-sided probability is twice the observed one-tail probability.
|
| 540 |
|
|
|a Copyright 1984 Royal Statistical Society
|
| 650 |
|
4 |
|a Ancillary Statistics
|
| 650 |
|
4 |
|a Binomial Probabilities
|
| 650 |
|
4 |
|a Conditioning
|
| 650 |
|
4 |
|a Conservative Test
|
| 650 |
|
4 |
|a Contingency Tables
|
| 650 |
|
4 |
|a Contingency Test
|
| 650 |
|
4 |
|a Continuity Correction
|
| 650 |
|
4 |
|a Fisher's Exact Test
|
| 650 |
|
4 |
|a Goodness of Fit
|
| 650 |
|
4 |
|a Neyman-Pearson Theory
|
| 650 |
|
4 |
|a One-Tail Probabilities
|
| 650 |
|
4 |
|a Quality Control
|
| 650 |
|
4 |
|a Significance Tests
|
| 650 |
|
4 |
|a Two-Sided Tests
|
| 650 |
|
4 |
|a Yates's Correction
|
| 650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Probability theory
|x Probabilities
|
| 650 |
|
4 |
|a Health sciences
|x Medical sciences
|x Immunology
|x Immunologic techniques
|x Inoculation
|
| 650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Algebra
|x Polynomials
|x Binomials
|
| 650 |
|
4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Thought processes
|x Reasoning
|x Inference
|
| 650 |
|
4 |
|a Mathematics
|x Mathematical procedures
|x Approximation
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical results
|x Statistical properties
|x Statistical significance
|x Significance level
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Computational mathematics
|x Mathematical tables
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|
| 650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Algebra
|x Polynomials
|x Binomials
|x Binomial distributions
|
| 650 |
|
4 |
|a Physical sciences
|x Physics
|x Mechanics
|x Classical mechanics
|x Kinetics
|x Translational motion
|x Degrees of freedom
|
| 655 |
|
4 |
|a research-article
|
| 773 |
0 |
8 |
|i Enthalten in
|t Journal of the Royal Statistical Society. Series A (General)
|d Royal Statistical Society, 1948
|g 147(1984), 3, Seite 426-463
|w (DE-627)1853780618
|w (DE-600)3163510-6
|x 00359238
|7 nnns
|
| 773 |
1 |
8 |
|g volume:147
|g year:1984
|g number:3
|g pages:426-463
|
| 856 |
4 |
0 |
|u https://www.jstor.org/stable/2981577
|3 Volltext
|
| 856 |
4 |
0 |
|u https://doi.org/10.2307/2981577
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_JST
|
| 912 |
|
|
|a GBV_ILN_11
|
| 912 |
|
|
|a GBV_ILN_20
|
| 912 |
|
|
|a GBV_ILN_22
|
| 912 |
|
|
|a GBV_ILN_24
|
| 912 |
|
|
|a GBV_ILN_31
|
| 912 |
|
|
|a GBV_ILN_39
|
| 912 |
|
|
|a GBV_ILN_40
|
| 912 |
|
|
|a GBV_ILN_60
|
| 912 |
|
|
|a GBV_ILN_62
|
| 912 |
|
|
|a GBV_ILN_63
|
| 912 |
|
|
|a GBV_ILN_65
|
| 912 |
|
|
|a GBV_ILN_69
|
| 912 |
|
|
|a GBV_ILN_70
|
| 912 |
|
|
|a GBV_ILN_90
|
| 912 |
|
|
|a GBV_ILN_100
|
| 912 |
|
|
|a GBV_ILN_101
|
| 912 |
|
|
|a GBV_ILN_110
|
| 912 |
|
|
|a GBV_ILN_285
|
| 912 |
|
|
|a GBV_ILN_702
|
| 912 |
|
|
|a GBV_ILN_2001
|
| 912 |
|
|
|a GBV_ILN_2003
|
| 912 |
|
|
|a GBV_ILN_2005
|
| 912 |
|
|
|a GBV_ILN_2006
|
| 912 |
|
|
|a GBV_ILN_2007
|
| 912 |
|
|
|a GBV_ILN_2008
|
| 912 |
|
|
|a GBV_ILN_2009
|
| 912 |
|
|
|a GBV_ILN_2010
|
| 912 |
|
|
|a GBV_ILN_2011
|
| 912 |
|
|
|a GBV_ILN_2014
|
| 912 |
|
|
|a GBV_ILN_2015
|
| 912 |
|
|
|a GBV_ILN_2018
|
| 912 |
|
|
|a GBV_ILN_2020
|
| 912 |
|
|
|a GBV_ILN_2021
|
| 912 |
|
|
|a GBV_ILN_2026
|
| 912 |
|
|
|a GBV_ILN_2027
|
| 912 |
|
|
|a GBV_ILN_2044
|
| 912 |
|
|
|a GBV_ILN_2050
|
| 912 |
|
|
|a GBV_ILN_2056
|
| 912 |
|
|
|a GBV_ILN_2057
|
| 912 |
|
|
|a GBV_ILN_2061
|
| 912 |
|
|
|a GBV_ILN_2088
|
| 912 |
|
|
|a GBV_ILN_2107
|
| 912 |
|
|
|a GBV_ILN_2110
|
| 912 |
|
|
|a GBV_ILN_2111
|
| 912 |
|
|
|a GBV_ILN_2190
|
| 912 |
|
|
|a GBV_ILN_2932
|
| 912 |
|
|
|a GBV_ILN_2947
|
| 912 |
|
|
|a GBV_ILN_2949
|
| 912 |
|
|
|a GBV_ILN_2950
|
| 912 |
|
|
|a GBV_ILN_4012
|
| 912 |
|
|
|a GBV_ILN_4035
|
| 912 |
|
|
|a GBV_ILN_4037
|
| 912 |
|
|
|a GBV_ILN_4046
|
| 912 |
|
|
|a GBV_ILN_4112
|
| 912 |
|
|
|a GBV_ILN_4126
|
| 912 |
|
|
|a GBV_ILN_4242
|
| 912 |
|
|
|a GBV_ILN_4251
|
| 912 |
|
|
|a GBV_ILN_4305
|
| 912 |
|
|
|a GBV_ILN_4306
|
| 912 |
|
|
|a GBV_ILN_4307
|
| 912 |
|
|
|a GBV_ILN_4313
|
| 912 |
|
|
|a GBV_ILN_4322
|
| 912 |
|
|
|a GBV_ILN_4323
|
| 912 |
|
|
|a GBV_ILN_4324
|
| 912 |
|
|
|a GBV_ILN_4325
|
| 912 |
|
|
|a GBV_ILN_4335
|
| 912 |
|
|
|a GBV_ILN_4346
|
| 912 |
|
|
|a GBV_ILN_4393
|
| 912 |
|
|
|a GBV_ILN_4700
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 147
|j 1984
|e 3
|h 426-463
|