This book is a how-to guide for statistical analyses designed for undergraduates and others new to the subject. It uses a conceptual framework, starting with the most basic concepts of statistics and moving up through the capacity to perform bivariate regression.
This book is a how-to guide for statistical analyses designed for undergraduates and others new to the subject. It uses a conceptual framework, starting with the most basic concepts of statistics and moving up through the capacity to perform bivariate regression.
Michael J. DeValve is an associate professor in the Department of Criminal Justice at Bridgewater State University. His scholarly focus is on the nexus of justice and love. In addition, DeValve has written about justice organization capacity building and conflict resolution. He is the author of numerous works, including A Different Justice: Love and the Future of Criminal Justice Practice in America and Personal Ethics and Ordinary Heroes: The Social Context of Morality (Routledge, 2021). He has been teaching analyzing criminal justice data for many years using the concepts in this text.
Inhaltsangabe
1. Introduction and Basic Concepts 2. Presenting Data 3. Centrality 4. Variation and Dispersion 5. Basic Probability and the Normal Curve 6. The Central Limit Theorem and Sampling 7. Point Estimates and Confidence Intervals 8. The Reasoning Behind Hypothesis Testing 9. Bivariate Hypothesis Testing: t Tests 10. Bivariate Hypothesis Testing: ANOVA 11. Bivariate Hypothesis Testing: Measures of Correlation 12. An Introduction to Bivariate Linear Regression 13. Nonparametric Tests of Relation and Measures of Association
1. Introduction and Basic Concepts 2. Presenting Data 3. Centrality 4. Variation and Dispersion 5. Basic Probability and the Normal Curve 6. The Central Limit Theorem and Sampling 7. Point Estimates and Confidence Intervals 8. The Reasoning Behind Hypothesis Testing 9. Bivariate Hypothesis Testing: t Tests 10. Bivariate Hypothesis Testing: ANOVA 11. Bivariate Hypothesis Testing: Measures of Correlation 12. An Introduction to Bivariate Linear Regression 13. Nonparametric Tests of Relation and Measures of Association
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