Statistics for Non-Statisticians

ISBN-13: 9783662570012 / Angielski / Miękka / 2018 / 185 str.

Birger Stjernholm Madsen

Opis

Ideal material for private study or revision, this accessible volume will be required reading for anyone collecting, analyzing and presenting a range of data. It is particularly relevant to the task of planning sample data collection such as customer surveys.

Recenzje

"This book is clearly written for practitioners in the host of applications. This is also a good reference book for professionals. The interesting feature of this book is that it approaches explanatory rather than mathematical. The organization and structure is good and logical." (S. Ejaz Ahmed, Technometrics, Vol. 60 (3), 2018)

Spis treści

Preface.- 1 Data Collection.- 2 Presentation of Data.- 3 Description of Data.- 4 The Normal Distribution.- 5 Analysis of Qualitative Data.- 6 Error Sources and Planning.- 7 Assessment of Relationship.- 8 Comparing Two Groups.- 9 Appendices.- Index.

O autorze

Birger Stjernholm Madsen has a Master of Science in Statistics and Mathematics.

He has several years of experience as a statistician at major Danish companies within several industries as well as within national statistics.

He has also taught statistics for several years at University of Copenhagen and has held hundreds of statistics courses for various audiences throughout decades. This book is a direct result of his teaching.

Blurb

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.