Title: Data matters
First published: 2004
Description: The standard curriculum of an introductory course in statistics around 1990-2010 presented in easily accessible engaging language.  Topics include sampling error, prediction, statistical inference, descriptive statistics, chi-square tests, ANOVA, simple regression, resampling, and non-parametrics.  Learning from statistics is established by much practice in reading, interpreting, and critiquing statistics reported in the popular press and social and natural sciences.
Subjects: Statistics, Introductory Statistics, Statistics in the News, Humanities, Research, Mathematics, Reference, Science/Mathematics, Probability & Statistics - General, Social Science / Statistics, Statistiek
LC classification: QA276.12 .M295 2004, QA276.12 .M295 2004