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2011 | Book

Data Collection Read chapter Read first chapter

Statistics for Non-Statisticians

Author: Birger Madsen

Publisher: Springer Berlin Heidelberg

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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About this book

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.
The topics were determined by what is most useful for practical statistical work: even experienced statisticians will find new topics or new approaches to traditional topics.
The presentation is as non-mathematical as possible. Mathematical formulae are presented only if they are necessary for calculations and/or add to readers’ understanding. A sample survey is developed as a realistic example throughout the book, and many further examples are presented, which also use data spreadsheets from a supplementary website.

Table of Contents

Frontmatter
Chapter 1. Data Collection
Abstract
This chapter explains some basic concepts within statistics. Also, we look at the most important ways to collect data in surveys.
Birger Madsen
Chapter 2. Presentation of Data
Abstract
In this chapter we show how to present the results of a questionnaire survey, using graphs and tables.
Birger Madsen
Chapter 3. Description of Data
Abstract
In Chap. 2, we discussed two different types of data: quantitative data and qualitative data.
Birger Madsen
Chapter 4. The Normal Distribution
Abstract
In Chap. 3, we explained how to calculate descriptive statistics such as the average and standard deviation of a sample. Now we will see what these measures can be used for.
Birger Madsen
Chapter 5. Analysis of Qualitative Data
Abstract
In this chapter we look at qualitative data, i.e., data values correspond to groups in the population. One particularly important type of qualitative data is alternative (binary) data with only two groups (“alternatives”).
Birger Madsen
Chapter 6. Error Sources and Planning
Abstract
We saw in Chap. 3 that there are two types of variation in data: systematic variation and random variation.
Birger Madsen
Chapter 7. Assessment of Relationship
Abstract
In many different disciplines you need to assess, whether there is a relationship between two variables. This can be in administration, social sciences, economics, industry, and science.
Birger Madsen
Chapter 8. Comparing Two Groups
Abstract
We may for example want to evaluate the effect of physical exercise on the weight of kids.
Birger Madsen
Chapter 9. Appendices
Abstract
The reader, who is mainly interested in applying statistical methods, can safely skip this appendix.
Birger Madsen
Backmatter
Metadata
Title
Statistics for Non-Statisticians
Author
Birger Madsen
Copyright Year
2011
Publisher
Springer Berlin Heidelberg
Electronic ISBN
978-3-642-17656-2
Print ISBN
978-3-642-17655-5
DOI
https://doi.org/10.1007/978-3-642-17656-2

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