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Informationen zum Autor Gregory J. Privitera Statistics for the Behavioral Sciences, now in its Second Edition, engages students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems. By integrating robust pedagogy as well as screenshots and practical examples for using IBM SPSS® Statistics software, award-winning author Gregory J. Privitera balances statistical theory, computation, and application with the technical instruction needed for students to succeed in the modern era of data collection, analysis, and statistical interpretation. Fully updated with current research and a four-color design, this new edition features even more real-world examples and an updated Student Study Guide with SPSS Workbook. Zusammenfassung Engages how statistics apply to modern-day research problems. Integrating robust pedagogy! screenshots and practical SPSS examples! this book balances statistical theory! computation! and application with the technical instruction needed for students to succeed in the modern era of data collection! analysis! and statistical interpretation. Part I: Introduction and Descriptive StatisticsChapter 1: Introduction to Statistics 1.1 The Use of Statistics in Science 1.2 Descriptive and Inferential Statistics 1.3 Research Methods and Statistics 1.4 Scales of Measurement 1.5 Types of Data 1.6 Research in Focus: Types of Data and Scales of Measurement 1.7 SPSS in Focus: Entering and Defining VariablesChapter 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 ChartsChapter 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 ModeChapter 4: Summarizing Data: Variability 4.1 Measuring Variability 4.2 The Range 4.3 Research in Focus: Reporting the Range 4.4 Quartiles and Intequartiles 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 DeviationPart II: Probability and the Foundations of Inferential StatisticsChapter 5: Probability 5.1 Introduction to Probability 5.2 Calculating Probability 5.3 Probability and Relative Frequency 5.4 The Relationship Between Multiple Outcomes 5.5 Conditional Probabilities and Bayes' Theorem 5.6 SPSS in Focus: Probability Tables 5.7 Probability Distributions 5.8 The Mean of a Probability Distribution and Expected Value 5.9 Research in Focus: When Are Risks Worth Taking? 5.10 The Variance and Standard Deviation of a Probability Distribution 5.11 Expected Value and the Binomial Distribution 5.12 A Final Thought on the Likelihood of Random Behavioral OutcomesChapter 6: Probability, Normal Distributions, and z Scores 6.1 The Normal Distribution in Behavioral Science 6.2 Characteristics of the Normal Distribution...
