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| Series Editors' Preface | |
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| Preface | |
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| Course Preparation | |
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| Teaching Statistics: A Beginning | |
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| So Why Teach Statistics? | |
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| Historical Pedagogical Controversies | |
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| Who should teach statistics? | |
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| Statistics labs and related technology | |
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| Content of statistics courses | |
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| Statistics in Relation to the Discipline | |
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| Sequence of the Class and Topics | |
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| Introducing Research Methods within the Context of Statistics | |
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| Student Populations | |
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| Mathematical ability | |
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| Cognitive ability and learning styles | |
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| Self-efficacy and motivation | |
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| Gender | |
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| Helping Your Students Survive Statistics | |
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| Conclusion | |
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| Nuts and Bolts of Teaching Statistics | |
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| Syllabus Construction | |
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| Textbook Selection | |
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| Conceptual orientation | |
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| Level of difficulty | |
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| Chapter topics and organization | |
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| Core formulas and vocabulary | |
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| Type of data sets/quality of the exercises | |
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| Traditional Versus Electronic Textbooks | |
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| Supplemental Materials | |
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| Study guides | |
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| Companion Web sites | |
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| Computer tutorials | |
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| Electronic Discussion Boards | |
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| Multimedia Tools | |
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| Presentation technology | |
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| Interactive applications: Java applets, Flash, Shockwave, and HTML | |
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| Multimedia simulation programs | |
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| Conclusion | |
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| Theoretical and Pedagogical Concerns | |
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| Educational Reform in Statistics | |
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| Educational Reform | |
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| Statistically Educated Students | |
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| Statistical Literacy | |
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| Knowledge elements | |
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| Dispositional elements | |
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| Statistical Thinking | |
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| Statistical Reasoning | |
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| Misconceptions Impacting the Development of Literacy, Thinking, and Reasoning | |
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| Final Thoughts on Statistical Literacy, Thinking, and Reasoning | |
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| Assessment | |
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| What is the role of assessment? | |
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| What is the role of authentic assessment? | |
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| Assessment and learning outcomes or goals | |
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| Conclusion | |
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| In the Classroom | |
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| Conceptual Learning, Active Learning, and Real Data | |
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| Conceptual learning versus rote memorization | |
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| Active learning | |
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| Real data | |
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| Instructional Techniques | |
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| Lecture | |
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| The use of questions | |
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| Practice problems and examples | |
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| Journal assignments | |
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| Activities and demonstrations | |
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| Writing assignments | |
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| Concept maps | |
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| Cooperative learning | |
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| Projects | |
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| Assessment | |
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| Principles of effective assessment | |
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| Mastery learning | |
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| Confronting Fear and Anxiety | |
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| Conclusion | |
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| Teaching Specific Statistical Concepts | |
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| Descriptive Statistics and Bivariate Distributions | |
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| Graphing Data | |
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| The use of graphs in science | |
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| Elements of good design | |
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| Human graphical perception | |
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| Available graphing methods | |
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| Software design | |
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| Normal Distribution | |
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| Measures of Central Tendency | |
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| Measures of Variability | |
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| Correlation | |
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| Simple Linear Regression | |
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| Computer Applications | |
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| Conclusion | |
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| Teaching Hypothesis Testing | |
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| Samples, Sampling Distributions, and the Central Limit Theorem | |
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| Confidence Intervals | |
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| Introduction to Null Hypothesis Testing | |
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| Additional Introduction to Hypothesis Testing Concepts | |
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| Power | |
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| Effect sizes | |
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| Type I and Type II errors | |
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| Analysis of Variance | |
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| Introduction to ANOVA | |
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| Violating ANOVA assumptions | |
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| Factorial ANOVA | |
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| General linear model | |
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| The Debate Surrounding Null Hypothesis Significance Testing | |
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| Nonparametric Statistics | |
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| Computer Applications | |
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| Conclusion | |
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| Advanced Topics and Approaches | |
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| Data Analysis in Statistical Education | |
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| Teaching with Statistical Software Tools | |
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| Data Analysis Packages | |
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| SPSS | |
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| Microsoft Excel | |
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| Other commercial data analysis programs | |
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| Comparing data analysis programs | |
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| Data Analysis Software Textbooks | |
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| Using Data Sets in the Classroom | |
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| Artificial data sets for the classroom | |
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| Reality-based data sets | |
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| Finding appropriate reality-based data sets | |
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| Drawbacks to using real data sets | |
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| Conclusion | |
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| Endings and Beginnings | |
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| Multivariate Statistics | |
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| Multiple regression | |
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| Logistic regression | |
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| Additional multivariate techniques | |
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| Special Topics | |
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| Ethics | |
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| Diversity | |
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| Online Statistical Education | |
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| Finishing up Any Statistics Course | |
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| Final Thoughts | |
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| References | |
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| Index | |