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Learning From Data : An Introduction to Statistical Reasoning Using JASP by Arthur M. Glenberg and Matthew E. Andrzejewski is a nonfiction available to read on EtoBox.

What is Learning From Data : An Introduction to Statistical Reasoning Using JASP about?

This fully updated fourth edition explores the foundations of statistical reasoning, focusing on how to interpret psychological data and statistical results. This edition includes three important new features. First, the book is closely integrated with the free statistical analysis program JASP. Thus, students learn how to use JASP to help with tasks such as constructing grouped frequency distributions, making violin plots, conducting inferential statistical tests, and creating confidence intervals. Second, reflecting the growing use of Bayesian analyses in the professional literature, this edition includes a chapter with an introduction to Bayesian statistics (also using JASP). Third, the revised text incorporates adjunct questions, that is, questions that challenge the student's understanding, after each major section. Cognitive psychology has demonstrated how adjunct questions and related techniques such as self-explanation can greatly improve comprehension.Additional key features of the book include:• A user-friendly approach, with focused attention to explaining the more difficult concepts and the logic behind them. End of chapter tables summarize the hypothesis testing proced

Who reads Learning From Data : An Introduction to Statistical Reasoning Using JASP?

Author

Arthur M. Glenberg and Matthew E. Andrzejewski

Publisher

Routledge, Chapman & Hall, Incorporated

Published

2024

Language

EN

ISBN

9780367457983

Category

nonfiction

Subjects

Education, Psychology, Computer Science