Beginning Statistics


Beginning Statistics pdf

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Beginning Statistics


Beginning Statistics

Author: Liam Foster

language: en

Publisher: SAGE

Release Date: 2014-11-17


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In the Second Edition of this bestselling textbook, the authors use real-world examples to introduce basic principles in statistics with no prior knowledge or experience assumed. With an emphasis on describing concepts, showing through example and illustrating points with graphs and displays, this book will provide readers with a step-by-step introduction to using statistics. Chapters address the following questions: Why bother learning statistics in the first place and are they relevant to real life? How do I make sensible tables and informative graphs? What are descriptive and inferential statistics and how are they used? What are regression and correlation anyway?

Beginning Statistics


Beginning Statistics

Author: Ian Diamond

language: en

Publisher: SAGE

Release Date: 2013-02-26


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`The clarity, simplicity and use of many practical examples makes this book very useful, primarily for under- and postgraduate students′ - Journal of Biosocial Science With an emphasis on description, examples, graphs and displays rather than statistical formulae, this book is the ideal introductory guide for students across the social sciences. It shows how all students can understand the basic ideas of statistics at a level appropriate with being a good social scientist. The authors explain the right ways to present data, how to describe a set of data using summary statistics and how to infer what is going on in a population when all you have to go on is the sample. The book uses small data sets to help students understand the basic principles, and no mathematics or statistical background is assumed.

Beginning Statistics with Data Analysis


Beginning Statistics with Data Analysis

Author: Frederick Mosteller

language: en

Publisher: Courier Corporation

Release Date: 2013-01-01


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This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.