Interpreting Basic Statistics : A Workbook Based on Excerpts from Journal Articles (9TH)

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Interpreting Basic Statistics : A Workbook Based on Excerpts from Journal Articles (9TH)

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  • 製本 Hardcover:ハードカバー版/ページ数 244 p.
  • 言語 ENG
  • 商品コード 9780367560515
  • DDC分類 519.5076

Full Description

Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals.

Features of the ninth edition:

• Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics

• Up-to-date journal excerpts reflecting contemporary styles in statistical reporting

• Strong emphasis on data visualization

• Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios

About this book

Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questions on the journal excerpts promote learning by helping students

• interpret information in tables and figures,

• perform simple calculations to further their interpretations,

• critique data-reporting techniques, and

• evaluate procedures used to collect data.

The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The Factual Questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. Each exercise covers a limited number of topics, making it easy to coordinate the exercises with lectures or a traditional statistics textbook.

Contents

1. Basic Descriptions of the Data: Measurement and Frequency 2. Describing the Data 3. Displaying Data: Visualizing What is There 4. Finding Relationships: Association and Prediction 5. Group Differences with Normal Distributions 6. Nonparametric Tests for Group Differences 7. Test Construction