Introduction to Statistics : Using Interactive MM*Stat Elements
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The work Introduction to Statistics : Using Interactive MM*Stat Elements represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.
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Introduction to Statistics : Using Interactive MM*Stat Elements
Resource Information
The work Introduction to Statistics : Using Interactive MM*Stat Elements represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- Introduction to Statistics : Using Interactive MM*Stat Elements
- Title remainder
- Using Interactive MM*Stat Elements
- Statement of responsibility
- by Wolfgang Karl Härdle, Sigbert Klinke, Bernd Rönz
- Language
- eng
- Summary
- 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
- Image bit depth
- 0
- Literary form
- non fiction
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