Introduction to Statistics

Using Interactive MM*Stat Elements

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Business & Finance, Economics, Science & Nature, Mathematics
Cover of the book Introduction to Statistics by Wolfgang Karl Härdle, Sigbert Klinke, Bernd Rönz, Springer International Publishing
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Author: Wolfgang Karl Härdle, Sigbert Klinke, Bernd Rönz ISBN: 9783319177045
Publisher: Springer International Publishing Publication: December 25, 2015
Imprint: Springer Language: English
Author: Wolfgang Karl Härdle, Sigbert Klinke, Bernd Rönz
ISBN: 9783319177045
Publisher: Springer International Publishing
Publication: December 25, 2015
Imprint: Springer
Language: English

This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing).

Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students’ knowledge, also draw on information and material from previous chapters.

The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing).

Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students’ knowledge, also draw on information and material from previous chapters.

The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc. 

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