Introduction to Statistics

Authors: Härdle, Wolfgang Karl, Klinke, Sigbert, Rönz, Bernd
Covers thoroughly all necessary topics for introductory statistics courses
Guides students to a deeper understanding of statistical methods through diverse examples
Provides interactive real data examples for independent study via the enhanced online version

About this Textbook
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 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.
All R codes and data sets may be downloaded via the quantlet download center www.quantlet.de.

Number of Illustrations and Tables
32 illus., 173 in colour
Additional Information
Originally published in German with the title: MM*Stat - Eine interaktive Einführung in die Welt der Statistik
Topics
Statistics for Business, Economics, Mathematical Finance, Insurance
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Probability and Statistics in Computer Science
Statistics for Life Sciences, Medicine, Health Sciences
Statistics and Computing / Statistics Programs

More info and Hardcover at Springer

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