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Informationen zum Autor Howard T. Tokunaga is a professor of psychology at San Jose State University, where he serves as coordinator of the MS Program in Industrial/Organizational (I/O) Psychology and teaches undergraduate and graduate courses in statistics, research methods, and I/O psychology. He received his bachelor's degree in psychology at UC Santa Cruz and his PhD in psychology at UC Berkeley. In addition to his teaching, he has consulted with a number of public sector and private sector organizations on a wide variety of management and human resource issues. He is co-author (with G. Keppel) of Introduction to Design and Analysis: A Student's Handbook. Klappentext This book teaches students not just how to calculate statistics, but how to interpret the results of statistical analyses in light of a study's research hypothesis, and to communicate the results and interpretations to a broader audience. Inhaltsverzeichnis Chapter 1: Introduction to Statistics 1.1 What Is Statistics? 1.2 Why Learn Statistics? 1.3 Introduction to the Stages of the Research Process 1.4 Plan of the Book Chapter 2: Examining Data: Tables and Figures 2.1 An Example From the Research: Winning the Lottery 2.2 Why Examine Data? 2.3 Examining Data Using Tables 2.4 Grouped Frequency Distribution Tables 2.5 Examining Data Using Figures 2.6 Examining Data: Describing Distributions Chapter 3: Measures of Central Tendency 3.1 An Example From the Research: The 10% Myth 3.2 Understanding Central Tendency 3.3 The Mode 3.4 The Median 3.5 The Mean 3.6 Comparison of the Mode, Median, and Mean 3.7 Measures of Central Tendency: Drawing Conclusions Chapter 4: Measures of Variability 4.1 An Example From the Research: How Many "Sometimes" in an "Always"? 4.2 Understanding Variability 4.3 The Range 4.4 The Interquartile Range 4.5 The Variance (s2) 4.6 The Standard Deviation (s) 4.7 Measures of Variability for Populations 4.8 Measures of Variability: Drawing Conclusions Chapter 5: Normal Distributions 5.1 Example: SAT Scores 5.2 Normal Distributions 5.3 The Standard Normal Distribution 5.4 Applying z-Scores to Normal Distributions 5.5 Standardizing Frequency Distributions Chapter 6: Probability and Introduction to Hypothesis Testing 6.1 A Brief Introduction to Probability 6.2 Example: Making Heads or Tails of the Super Bowl 6.3 Introduction to Hypothesis Testing 6.4 Issues Related to Hypothesis Testing: An Introduction Chapter 7: Testing One Sample Mean 7.1 An Example From the Research: Do You Read Me? 7.2 The Sampling Distribution of the Mean 7.3 Inferential Statistics: Testing One Sample Mean (s Known) 7.4 A Second Example From the Research: Unique Invulnerability 7.5 Introduction to the t-Distribution 7.6 Inferential Statistics: Testing One Sample Mean (s Not Known) 7.7 Factors Affecting the Decision About the Null Hypothesis Chapter 8: Estimating the Mean of a Population 8.1 An Example From the Research: Salary Survey 8.2 Introduction to the Confidence Interval for the Mean 8.3 The Confidence Interval for the Mean (s Not Known) 8.4 The Confidence Interval for the Mean (s Known) 8.5 Factors Affecting the Width of the Confidence Interval for the Mean 8.6 Interval Estimation and Hypothesis Testing Chapter 9: Testing the Difference Between Two Means 9.1 An Example From the Research: You Can Just Wait 9.2 The Sampling Distribution of the Difference 9.3 Inferential Statistics: Testing the Difference Between Two Sample Means 9.4 Inferential Statistics: Testing the Difference Between Two Sample Means (Unequal Sample Sizes) 9.5 Inferential Statistics: Testing the Difference Between Paired Means Ch...
