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Statistics: A Gentle Introduction

by Frederick L. Coolidge

Statistics explained through concepts and examples

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AlbakiReads Editorial

Statistics explained through concepts and examples

Frederick L. Coolidge’s introductory text puts statistical ideas before calculations, using plain-language explanations and step-by-step formula examples to connect concepts with their mathematical application. Real-world examples frame statistics as a tool for interpreting information and making choices. The fourth edition also covers big data, non-parametric tests, beta coefficients, the nocebo effect, p values in research, and confidence intervals, with additional practice through its “Test Yourself” exercises and homework options.

Good fit for readers who enjoy

  • Students beginning an introductory statistics course, especially in a psychology context.
  • Learners who want concepts explained before working through formulas.
  • Students seeking practice exercises alongside coverage of statistical methods and research topics.

Themes

Introductory statisticsStatistical reasoning and calculationResearch methods and interpretationApplied examples and decision-making

Based on publisher information and book metadata.

Book overview

The Fourth Edition of Statistics: A Gentle Introduction shows students that an introductory statistics class doesn't need to be difficult or dull. Author Fred Coolidge minimizes students' anxieties about math by explaining the concepts of statistics in plain language first, before addressing the math. Each formula within the text has a step-by-step example to demonstrate the calculation so students can follow along. Only those formulas that are important for final calculations are included in the text so students can focus on the concepts, not the numbers. A wealth of real-world examples and applications gives a context for statistics in the real world and how it helps us solve problems and make informed choices.

New to the Fourth Edition are sections on working with big data, new coverage of alternative non-parametric tests, beta coefficients, and the "nocebo effect," discussions of p values in the context of research, an expanded discussion of confidence intervals, and more exercises and homework options under the new feature "Test Yourself."

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