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    Statistics for Psychology (Paperback) By (author) Arthur Aron, By (author) Elaine N. Aron, By (author) Elliot Coups, By (author) Cole Publishing


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    DescriptionThis author team is committed to making statistics a highlight for psychology students! Now, in a 5th edition, Statistics for Psychology, continues to be an accessible, current, and interesting approach to statistics. With each revision, the authors have maintain those things about the book that have been especially appreciated, while reworking the text to take into account the feedback, their our own experiences, and advances and changes in the field. The fifth edition of this popular text uses definitional formulas to emphasize concepts of statistics, rather than rote memorization. This approach constantly reminds students of the logic behind what they are learning, and each procedure is taught both verbally and numerically, which helps to emphasize the concepts. Thoroughly revised, with new content and many new practice examples, this text takes the reader from basic procedures through analysis of variance (ANOVA). While learning statistics, students also learn how to read and interpret current research.

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  • Full bibliographic data for Statistics for Psychology

    Statistics for Psychology
    Authors and contributors
    By (author) Arthur Aron, By (author) Elaine N. Aron, By (author) Elliot Coups, By (author) Cole Publishing
    Physical properties
    Format: Paperback
    Number of pages: 744
    Width: 203 mm
    Height: 254 mm
    Thickness: 24 mm
    Weight: 1,160 g
    ISBN 13: 9780132365024
    ISBN 10: 0132365022

    BIC E4L: PSY
    Nielsen BookScan Product Class 3: S2.2T
    BIC subject category V2: PBT
    Warengruppen-Systematik des deutschen Buchhandels: 15300
    BISAC V2.8: MAT029000
    BIC subject category V2: JMB
    BISAC V2.8: PSY030000
    DC23: 150.727
    Thema V1.0: PBT, JMB
    Edition statement
    5th International edition
    Pearson Education (US)
    Imprint name
    Publication date
    01 November 2008
    Table of contents
    1. Displaying the order in a group of numbers. 2. Central tendency and variability. 3. Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability. 4. Introduction to hypothesis testing. 5. Hypothesis testing with means of samples. 6. Making sense of statistical significance: Effect size and statistical power. 7. Introduction to the t test: Single sample and dependent means. 8. The t test for independent means. 9. Introduction to the analysis of variance. 10. Factorial analysis of variance. 11. Correlation. 12. Prediction. 13. Chi-square tests. 14. Strategies when population distributions are not normal: Data transformations and rank-order tests. 15. Integration and the general linear model. 16. Making sense of advanced statistical procedures in research articles.