Elements of Statistical Reasoning - Tapa blanda

Minium, Edward W.; Clarke, Robert C.; Coladarci, Theodore

 
9780471192770: Elements of Statistical Reasoning

Sinopsis

This text stresses conceptual development and the logic of statistics for use in the Behavioral Sciences. It is designed for those who need to evaluate statistical findings. Coverage includes estimation procedures, independent samples t--test, Stevena s scales of measurements, Pearson correlation coefficient. Updated to include Turkeya s HSD test on factorial analysis of variance and Spearmana s rho on assumption--free tests and all chapter have been edited to enhance clarity and flow, to simplify numbers in the worked problems, and to align all examples with the behavioral sciences.

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Acerca del autor

About the Authors New co--author Theodore Coladarci is Professor of Educational Psychology at the University of Maine. He has published extensively, including Elementary Descriptive Statistics, which he co--authored with A.P. Coladarci. Edward W. Minium is Professor of Psychology Emeritus at San Jose State University. He is the author of the very successful text Statistical Reasoning in Psychology and Education. Through his work, Minium has gained a highly respected reputation in the field. Robert B. Clarke is also Professor of Psychology Emeritus at San Jose State University. He co--authored Statistical Reasoning and Procedures with A.P. Coladarci and J. Caffrey.

De la contraportada

A Better Understanding Through Conceptual Development If you?re looking for an engaging approach to statistics, then you?ll enjoy the clear exposition in this text. Conceptual development and the logic of statistics is stressed throughout with special attention placed on the needs of students. The more difficult concepts are presented in a step-by-step basis to provide a better understanding. All the while, the scope, tone, and accuracy to statistical statements from the first edition are retained. New Features of the Second Edition

  • All chapters have been revised to enhance clarity and flow, to simplify numbers in the worked problems, and to align all examples with the behavioral sciences.
  • The presentation of probability has been streamlined to focus on the basics needed for understanding statistical inference.
  • The discussion of statistical power has been simplified to focus on its meaning and importance, and the factors affecting it.
  • Estimation procedures are introduced earlier and are integrated into subsequent chapters.

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