Foundations in Statistical Reasoning (Pete Kaslik)

 
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Foundations in Statistical Reasoning (Pete Kaslik)

Students taking an introductory statistics course should take Foundations in Statistical Reasoning. The focus of the entire book is on how to make decisions based on scant information.

In light of the possibility that a different sample could have produced a different conclusion, judgments are actually based on the findings of one sample. Algebraic and statistical reasoning are very distinct from one another.

The mental process is the main topic of this text. The second chapter provides a basic introduction to the ideas of hypothesis testing, mistakes, and p-values, which are then employed throughout the rest of the book. The construction of the formulas for the hypothesis tests is the result of inferential theory, which starts with a hypothesis and integrates probability laws.

homework issues To help students understand how the concepts fit together to answer issues with incomplete information, concepts from all the chapters are integrated at the end of each chapter.

Ebook Details

Author(s)
Publisher
Published
Published Date / Year
(2015); eBook (Creative Commons Edition, 2021)
License(s)
CC BY-NC-SA 4.0
eBook Format
PDF
Language
English

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