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Statistics For Psychology 2019 Edition at Meripustak

Statistics For Psychology 2019 Edition by Arthur Aron, PEARSON INDIA

Books from same Author: Arthur Aron

Books from same Publisher: PEARSON INDIA

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  • General Information  
    Author(s) Arthur Aron
    PublisherPEARSON INDIA
    Edition6th edition
    ISBN9789353940362
    Pages736
    BindingSoftbound
    LanguageEnglish
    Publish YearJune 2019

    Description

    PEARSON INDIA Statistics For Psychology 2019 Edition by Arthur Aron

    Statistics for Psychology, 6th edition places definitional formulas center stage to emphasize the logic behind statistics and discourage rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically. Features: • Provides a concise summary of definitional formulas mathematically, verbally, and visually so students can understand the logic behind the procedure. The authors emphasizes on accessibility for all readers. • Gives examples of how a statistical method is reported in current journal articles. • Engages in the most current statistical theory and application. • “How are you Doing” exercises for students serves as a checkpoint for each chapter. • SPSS screen shots are included within the text to further facilitate learning. Examples in the text show students how to compute SPSS procedures and include a worked out example with screen shots. Table of Contents: Chapter 1. Displaying the order in a group of numbers Chapter 2. Central tendency and variability Chapter 3. Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability Chapter 4. Introduction to hypothesis testing Chapter 5. Hypothesis testing with means of samples Chapter 6. Making sense of statistical significance: Effect size and statistical power Chapter 7. Introduction to the t test: Single sample and dependent means Chapter 8. The t test for independent means Chapter 9. Introduction to the analysis of variance Chapter 10. Factorial analysis of variance Chapter 11. Correlation Chapter 12. Prediction Chapter 13. Chi-square tests Chapter 14. Strategies when population distributions are not normal: Data transformations and rank-order tests Chapter 15. Integration and the general linear model and Making sense of advanced statistical procedures in research articles



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