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What Is Not What in Statistics

What Is Not What in Statistics WHAT NOT WHAT IN STATISTICS* IS Louis Guttman by of The Hebrew of and the Israel Institute University Jerusalem, Social Research Applied Introduction Some Harold out that the forty years ago, Hotelling pointed statistical textbooks of that were written non- period largely by mathematicians. Those books were full of and were misconceptions, rather unaware of the new and dramatic of uniformly development the mathematical of statistical inference. did discipline They take of the for decisions not advantage sharpened logic making about on the basis of statistics, populations sample including the of estimation and of The improved logic hypothesis testing. was remedied as more mathematical statisticians situation slowly to issue until the have began textbooks, today pendulum may swung of too far. In some the inference rather than quarters, symbols the have taken over. This to be substance may appears especially true in the social sciences with which I am most and acquainted, to wich this is not addressed. paper largely (but exclusively) For referees and editors of some insist on example, journals tables of various kinds of data with stars and double decorating and on lists of &dquo;standard the errors&dquo;, stars, presenting despite fact that the for or implied http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique SAGE

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Publisher
SAGE
Copyright
Copyright © by SAGE Publications
ISSN
0759-1063
eISSN
2070-2779
DOI
10.1177/075910638400400102
Publisher site
See Article on Publisher Site

Abstract

WHAT NOT WHAT IN STATISTICS* IS Louis Guttman by of The Hebrew of and the Israel Institute University Jerusalem, Social Research Applied Introduction Some Harold out that the forty years ago, Hotelling pointed statistical textbooks of that were written non- period largely by mathematicians. Those books were full of and were misconceptions, rather unaware of the new and dramatic of uniformly development the mathematical of statistical inference. did discipline They take of the for decisions not advantage sharpened logic making about on the basis of statistics, populations sample including the of estimation and of The improved logic hypothesis testing. was remedied as more mathematical statisticians situation slowly to issue until the have began textbooks, today pendulum may swung of too far. In some the inference rather than quarters, symbols the have taken over. This to be substance may appears especially true in the social sciences with which I am most and acquainted, to wich this is not addressed. paper largely (but exclusively) For referees and editors of some insist on example, journals tables of various kinds of data with stars and double decorating and on lists of &dquo;standard the errors&dquo;, stars, presenting despite fact that the for or implied

Journal

Bulletin of Sociological Methodology/Bulletin de Méthodologie SociologiqueSAGE

Published: Oct 1, 1984

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