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Statistical Reasoning in Psychology and Education by Edward W. Minium, Gordon Bear and Bruce M. King (1993, Trade Paperback)

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About this product

Product Identifiers

PublisherWiley & Sons, Incorporated, John

ISBN-100471824739

ISBN-139780471824732

eBay Product ID (ePID)1625373

Product Key Features

Number of Pages280 Pages

LanguageEnglish

Publication NameStatistical Reasoning in Psychology and Education

SubjectCognitive Psychology & Cognition, Statistics

Publication Year1993

TypeTextbook

Subject AreaPsychology

AuthorEdward W. Minium, Gordon Bear, Bruce M. King

FormatTrade Paperback

Dimensions

Item Height0.6 in

Item Weight19.4 Oz

Item Length9.8 in

Item Width7.9 in

Additional Product Features

Edition Number3

Intended AudienceCollege Audience

Dewey Edition20

IllustratedYes

Dewey Decimal150/.72

Edition DescriptionWorkbook,Student edition

Table Of ContentPartial table of contents:Preliminary Concepts.Frequency Distributions, Percentiles, and Percentile Ranks.Central Tendency.Variability.The Normal Curve.Derived Scores.Correlation.Prediction.Interpretive Aspects of Correlation and Regression.Probability.The Basis of Statistical Inference.Further Considerations in Hypothesis Testing.Testing Hypotheses About the Difference Between Two Independent Means.Testing Hypotheses About the Difference Between Two Dependent Means.Power and Measure of Effect Size.One-Way Analysis of Variance (and Some Alternatives).Factorial Analysis of Variance: The Two-Factor Design.Inference About Pearson Correlation Coefficients.Chi-Square and Inference About Frequencies.Epilogue: The Realm of Statistics.Appendices.Tables.References.Index.

SynopsisDevelops statistical concepts, understanding of statistical logic, properties regarding statistical devices, assumptions underlying statistical tools and considers what happens when statistical theory meets real-world problems. Emphasizes the statistics of measurement and the interplay of statistics with experimental design, giving full treatment to both inferential and descriptive statistics. New to this edition are realistic examples and numerous original problems with data sets. Special boxed sections introduce students to controversial, topical and current issues such as the bootstrap, meta-analysis.