Introduction to Statistics

Using Interactive MM*Stat Elements

  • Wolfgang Karl Härdle
  • Sigbert Klinke
  • Bernd Rönz

Table of contents

  1. Front Matter
    Pages i-xx
  2. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 1-19
  3. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 21-68
  4. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 69-96
  5. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 97-106
  6. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 107-148
  7. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 149-208
  8. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 209-249
  9. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 251-309
  10. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 311-418
  11. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 419-454
  12. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 455-475
  13. Wolfgang Karl Härdle, Sigbert Klinke, Bernd Röonz
    Pages 477-494
  14. Back Matter
    Pages 495-516

About this book

Introduction

MM*Stat, together with its enhanced online version with interactive examples, offers a flexible tool that facilitates the teaching of basic statistics. It 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).

MM*Stat is also designed to help students rework class material independently and to promote comprehension with the help of additional examples. 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 t

he 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.

All R codes and data sets may be downloaded via the quantlet download center. 

Keywords

Descriptive Statistics Estimation Inferential Statistics Probability Theory Sampling Theory Statistical Tests

Authors and affiliations

  • Wolfgang Karl Härdle
    • 1
  • Sigbert Klinke
    • 2
  • Bernd Rönz
    • 3
  1. 1.Humboldt-Universität zu BerlinC.A.S.E. Centre f. Appl. Stat. & Econ., School of Business and Economics, Humboldt-Universität zu BerlinBerlinGermany
  2. 2.Ladislaus von Bortkiewicz Chair of StatisticsHumboldt-Universität zu BerlinBerlinGermany
  3. 3.Department of Economics Inst.for Statsitics and EconometricsHumboldt-Universität zu BerlinBerlinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-17704-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-17703-8
  • Online ISBN 978-3-319-17704-5
  • About this book