The engaging Third Edition of Statistics for the Behavioral Sciences shows students that statistics can be understandable, interesting, and relevant to their daily lives. Using a conversational tone, award-winning teacher and author Gregory J. Privitera speaks to the reader as researcher when covering statistical theory, computation, and application. Robust pedagogy allows students to continually check their comprehension and hone their skills when working through carefully developed problems and exercises that include current research and seamless integration of SPSS. This edition will not only prepare students to be lab-ready, but also give them the confidence to use statistics to summarize data and make decisions about behavior.

Table contents:

PART I. INTRODUCTION AND DESCRIPTIVE STATISTICSChapter 1. Introduction to Statistics 1.1 The Use of Statistics in Science 1.2 Descriptive and Inferential 1.3 Research Methods and Statistics 1.4 Scales of Measurement 1.5 Types of Variables for Which Data Are Measured 1.6 Research in Focus: Evaluating Data and Scales of Measurement 1.7 SPSS in Focus: Entering and Defining Variables Chapter Summary Key Terms End-of-Chapter ProblemsChapter 2. Summarizing Data: Frequency Distributions in Tables and Graphs 2.1 Why Summarize Data? 2.2 Frequency Distributions for Grouped Data 2.3 Identifying Percentile Points and Percentile Ranks 2.4 SPSS in Focus: Frequency Distributions for Quantitative Data 2.5 Frequency Distributions for Ungrouped Data 2.6 Research in Focus: Summarizing Demographic Information 2.7 SPSS in Focus: Frequency Distributions for Categorical Data 2.8 Pictorial Frequency Distributions 2.9 Graphing Distributions: Continuous Data 2.10 Graphing Distributions: Discrete and Categorical Data 2.11 Research in Focus: Frequencies and Percents 2.12 SPSS in Focus: Histograms, Bar Charts, and Pie Charts Chapter Summary Key Terms End-of-Chapter ProblemsChapter 3. Summarizing Data: Central Tendency 3.1 Introduction to Central Tendency 3.2 Measures of Central Tendency 3.3 Characteristics of the Mean 3.4 Choosing an Appropriate Measure of Central Tendency 3.5 Research in Focus: Describing Central Tendency 3.6 SPSS in Focus: Mean, Median, and Mode Chapter Summary Key Terms End-of-Chapter ProblemsChapter 4. Summarizing Data: Variability 4.1 Measuring Variability 4.2 The Range 4.3 Research in Focus: Reporting the Range 4.4 Quartiles and Interquartiles 4.5 The Variance 4.6 Explaining Variance for Populations and Samples 4.7 The Computational Formula for Variance 4.8 The Standard Deviation 4.9 What Does the Standard Deviation Tell Us? 4.10 Characteristics of the Standard Deviation 4.11 SPSS in Focus: Range, Variance, and Standard Deviation Chapter Summary Key Terms End-of-Chapter Problems

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