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Introduction to Statistics in the Psychological Sciences Linda Cote

By: Contributor(s): Material type: TextTextSeries: Open textbook libraryDistributor: Minneapolis, MN Open Textbook LibraryPublisher: [Place of publication not identified] University of Missouri - St. Louis 2024Copyright date: ©2021Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): LOC classification:
  • BF121
  • H1
Online resources:
Contents:
Introduction -- Chapter 1: Introduction -- Chapter 2: Describing Data Using Distributions and Graphs -- Chapter 3: Measures of Central Tendency and Spread -- Chapter 4: z Scores and the Standard Normal Distribution -- Chapter 5: Probability -- Chapter 6: Sampling Distributions -- Chapter 7: Introduction to Hypothesis Testing -- Chapter 8: Introduction to t Tests -- Chapter 9: Related Samples -- Chapter 10: Independent Samples -- Chapter 11: Analysis of Variance -- Chapter 12: Correlations -- Chapter 13: Linear Regression -- Chapter 14: Chi-Square -- Appendix A: Standard Normal Distribution Table (z Table) -- Appendix B: t Distribution Table (t Table) -- Appendix C: Critical Values for F (F Table) -- Appendix D: Critical Values for Pearson’s r (Correlation Table) -- Appendix E: Chi-Square Table -- Index --
Subject: Introduction to Statistics in the Psychological Sciences provides an accessible introduction to the fundamentals of statistics, and hypothesis testing as need for psychology students. The textbook introduces the fundamentals of statistics, an introduction to hypothesis testing, and t Tests. Related samples, independent samples, analysis of variance, correlations, linear regressions and chi-squares are all covered along with expanded appendices with z, t, F correlation, and a Chi-Square table. The text includes key terms and exercises with answers to odd-numbered exercises. Psychology students often find statistics courses to be different from their other psychology classes. There are some distinct differences, especially involving study strategies for class success. The first difference is learning a new vocabulary—it is similar to learning a new language. Knowing the meaning of certain words will help as you are reading the material and working through the problems. Secondly, practice is critical for success; reading over the material is not enough. Statistics is a subject learned by doing, so make sure you work through any homework questions, chapter questions, and practice problems available. Statistical knowledge gives you a set of skills employable in graduate school and the workplace. Data science is a burgeoning field, and there is practical significance in learning this material. The statistics presented in this book are some of the most common ones used in research articles, and we hope by the end of this OER you’ll feel comfortable reading (and not skipping!) the results section of an article. This work is broken into 14 chapters, covering the fundamentals of statistics, and hypothesis testing.
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Introduction -- Chapter 1: Introduction -- Chapter 2: Describing Data Using Distributions and Graphs -- Chapter 3: Measures of Central Tendency and Spread -- Chapter 4: z Scores and the Standard Normal Distribution -- Chapter 5: Probability -- Chapter 6: Sampling Distributions -- Chapter 7: Introduction to Hypothesis Testing -- Chapter 8: Introduction to t Tests -- Chapter 9: Related Samples -- Chapter 10: Independent Samples -- Chapter 11: Analysis of Variance -- Chapter 12: Correlations -- Chapter 13: Linear Regression -- Chapter 14: Chi-Square -- Appendix A: Standard Normal Distribution Table (z Table) -- Appendix B: t Distribution Table (t Table) -- Appendix C: Critical Values for F (F Table) -- Appendix D: Critical Values for Pearson’s r (Correlation Table) -- Appendix E: Chi-Square Table -- Index --

Introduction to Statistics in the Psychological Sciences provides an accessible introduction to the fundamentals of statistics, and hypothesis testing as need for psychology students. The textbook introduces the fundamentals of statistics, an introduction to hypothesis testing, and t Tests. Related samples, independent samples, analysis of variance, correlations, linear regressions and chi-squares are all covered along with expanded appendices with z, t, F correlation, and a Chi-Square table. The text includes key terms and exercises with answers to odd-numbered exercises. Psychology students often find statistics courses to be different from their other psychology classes. There are some distinct differences, especially involving study strategies for class success. The first difference is learning a new vocabulary—it is similar to learning a new language. Knowing the meaning of certain words will help as you are reading the material and working through the problems. Secondly, practice is critical for success; reading over the material is not enough. Statistics is a subject learned by doing, so make sure you work through any homework questions, chapter questions, and practice problems available. Statistical knowledge gives you a set of skills employable in graduate school and the workplace. Data science is a burgeoning field, and there is practical significance in learning this material. The statistics presented in this book are some of the most common ones used in research articles, and we hope by the end of this OER you’ll feel comfortable reading (and not skipping!) the results section of an article. This work is broken into 14 chapters, covering the fundamentals of statistics, and hypothesis testing.

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