Student Study Guide with SPSS Workbook for Statistics for the Behavioral Sciences - Gregory J. Privitera
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Présentation Student Study Guide With Spss Workbook For Statistics For The Behavioral Sciences de Gregory J. Privitera Format...
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Résumé : The Student Study Guide With SPSS Workbook for Statistics for the Behavioral Sciences, Second Edition includes a review of chapter learning objectives, chapter outlines and key terms, essential statistical formulas, special tips and insights for students, and chapter summaries. To help students practice skills, the guide offers word searches and crossword puzzles for each chapter, extensive practice quizzes linked to chapter learning objectives, and SPSS in Focus exercises which complement those in the book.
Biographie: Gregory J. Privitera
Sommaire:
Part I: Introduction and Descriptive Statistics
Chapter 1: Introduction to Statistics
Chapter 2: Summarizing Data: Frequency Distributions in Tables and Graphs
Chapter 3: Summarizing Data: Central Tendency
Chapter 4: Summarizing Data: Variability
Part II: Probability and the Foundations of Inferential Statistics
Chapter 5: Probability
Chapter 6: Probability, Normal Distributions, and z Scores
Chapter 7: Probability and Sampling Distributions
Part III: Making Inferences About One or Two Means
Chapter 8: Hypothesis Testing: Significance, Effect Size, and Power
Chapter 9: Testing Means: One Sample and Two-Independent Sample t Tests
Chapter 10: Testing Means: Related-Samples t Test
Chapter 11: Estimation and Confidence Intervals
Part IV: Making Inferences About the Variability of Two or More Means
Chapter 12: Analysis of Variance: One-Way Between-Subjects Design
Chapter 13: Analysis of Variance: One-Way Within-Subjects (Repeated Measures) Design
Chapter 14: Analysis of Variance: Two-Way Between-Subjects Factorial Design
Part V: Making Inferences About Patterns, Frequencies, and Ordinal Data
Chapter 15: Correlation
Chapter 16: Linear Regression and Multiple Regression
Chapter 17: Nonparametric Tests: Chi-Square Tests
Chapter 18: Nonparametric Tests: Tests for Ordinal Data
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