Statistics For Non-statisticians, Second Edition
by Birger Stjernholm Madsen /
2016 / English / PDF
3.9 MB Download
This book was written for those who need to know how to collect, analyze and present data. It is meant to be a first course for practitioners, a book for private study or brush-up on statistics, and supplementary reading for general statistics classes. The book is untraditional, both with respect to the choice of topics and the presentation: Topics were determined by what is most useful for practical statistical work, and the presentation is as non-mathematical as possible. The book contains many examples using statistical functions in spreadsheets. In this second edition, new topics have been included e.g. within the area of statistical quality control, in order to make the book even more useful for practitioners working in industry.Authors: Madsen, Birger Stjernholm
Aimed at practitioners
The presentation is as non-mathematical as possible
Includes many examples of the use of statistical functions in spreadsheets
Employs a realistic sample survey as an exemplar throughout the book
Fills a gap in the existing literature on statistics
About this Textbook
This book was written for those who need to know how to collect, analyze and present data. It is meant to be a first course for practitioners, a book for private study or brush-up on statistics, and supplementary reading for general statistics classes. The book is untraditional, both with respect to the choice of topics and the presentation: Topics were determined by what is most useful for practical statistical work, and the presentation is as non-mathematical as possible. The book contains many examples using statistical functions in spreadsheets. In this second edition, new topics have been included e.g. within the area of statistical quality control, in order to make the book even more useful for practitioners working in industry.
Number of Illustrations and Tables
14 b/w illustrations, 44 illustrations in colour
Topics
Statistics for Business, Economics, Mathematical Finance, Insurance
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Statistical Theory and Methods
