Premium
XLIX. The basic data structures used in quantitative indexes
Author(s) -
Feinstein Alvan R.
Publication year - 1979
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1002/cpt1979264525
Subject(s) - descriptive statistics , statistical inference , statistics , mathematical statistics , statistical analysis , probability and statistics , psychology , mathematics , mathematics education , econometrics , computer science
The domain of statistics is divided into two parts: descriptive and inferential . The inferential part contains the mathematical strategies that produce P values, confidence intervals, and other features of stochastic probability. The descriptive part is more mundane and often receives only cursory attention. In most textbooks and in classroom instruction, the descriptive features of statistics are usually taught rapidly as a necessary but relatively unimportant background for the inferential work. The means, proportions, rates, variances, distributions, correlation coefficients, and other descriptive statistical entities are generally presented as mere participants in the “important” inferential decisions that come later.