A guide to teaching statistics : innovations and best practices

著者

• Hulsizer, Michael R.
• Woolf, Linda M.

書誌事項

A guide to teaching statistics : innovations and best practices

Michael R. Hulsizer and Linda M. Woolf

（Teaching psychological science / series editors, William Buskist and Douglas A. Bernstein, 3）

Wiley-Blackwell, 2009

• : hbk.
• : pbk.

電子リソースにアクセスする 全1件

• A guide to teaching statistics innovations and best practices

  2009.

  Maruzen eBook Library

注記

Includes bibliographical references (p. [201]-247) and index

内容説明・目次

内容説明

A Guide to Teaching Statistics: Innovations and Best Practices addresses the critical aspects of teaching statistics to undergraduate students, acting as an invaluable tool for both novice and seasoned teachers of statistics. Guidance on textbook selection, syllabus construction, and course outline Classroom exercises, computer applications, and Internet resources designed to promote active learning Tips for incorporating real data into course content Recommendations on integrating ethics and diversity topics into statistics education Strategies to assess student's statistical literacy, thinking, and reasoning skills Additional material online at www.teachstats.org

目次

Series Editors' Preface xiii Preface xvii Part I Course Preparation 1 1 Teaching Statistics: A Beginning 3 So Why Teach Statistics? 5 Historical Pedagogical Controversies 7 Who should teach statistics? 7 Statistics labs and related technology 8 Content of statistics courses 10 Statistics in Relation to the Discipline 11 Sequence of the Class and Topics 12 Introducing Research Methods within the Context of Statistics 16 Student Populations 17 Mathematical ability 17 Cognitive ability and learning styles 19 Self-efficacy and motivation 20 Gender 22 Helping Your Students Survive Statistics 23 Conclusion 25 2 Nuts and Bolts of Teaching Statistics 27 Syllabus Construction 28 Textbook Selection 30 Conceptual orientation 31 Level of difficulty 33 Chapter topics and organization 34 Core formulas and vocabulary 35 Type of data sets/quality of the exercises 36 Traditional Versus Electronic Textbooks 37 Supplemental Materials 38 Study guides 39 Companion Web sites 39 Computer tutorials 40 Electronic Discussion Boards 42 Multimedia Tools 44 Presentation technology 45 Interactive applications: Java applets, Flash, Shockwave, and HTML 46 Multimedia simulation programs 48 Conclusion 49 Part II Theoretical and Pedagogical Concerns 51 3 Educational Reform in Statistics 53 Educational Reform 54 Statistically Educated Students 56 Statistical Literacy 59 Knowledge elements 60 Dispositional elements 62 Statistical Thinking 63 Statistical Reasoning 66 Misconceptions Impacting the Development of Literacy, Thinking, and Reasoning 70 Final Thoughts on Statistical Literacy, Thinking, and Reasoning 72 Assessment 73 What is the role of assessment? 73 What is the role of authentic assessment? 74 Assessment and learning outcomes or goals 75 Conclusion 77 4 In the Classroom 79 Conceptual Learning, Active Learning, and Real Data 80 Conceptual learning versus rote memorization 80 Active learning 82 Real data 83 Instructional Techniques 84 Lecture 85 The use of questions 86 Practice problems and examples 87 Journal assignments 88 Activities and demonstrations 89 Writing assignments 90 Concept maps 93 Cooperative learning 94 Projects 95 Assessment 97 Principles of effective assessment 97 Mastery learning 98 Confronting Fear and Anxiety 99 Conclusion 101 Part III Teaching Specific Statistical Concepts 103 5 Descriptive Statistics and Bivariate Distributions 105 Graphing Data 106 The use of graphs in science 107 Elements of good design 108 Human graphical perception 109 Available graphing methods 110 Software design 111 Normal Distribution 112 Measures of Central Tendency 114 Measures of Variability 117 Correlation 119 Simple Linear Regression 122 Computer Applications 125 Conclusion 127 6 Teaching Hypothesis Testing 129 Samples, Sampling Distributions, and the Central Limit Theorem 131 Confidence Intervals 133 Introduction to Null Hypothesis Testing 135 Additional Introduction to Hypothesis Testing Concepts 138 Power 138 Effect sizes 140 Type I and Type II errors 141 Analysis of Variance 142 Introduction to ANOVA 142 Violating ANOVA assumptions 143 Factorial ANOVA 144 General linear model 145 The Debate Surrounding Null Hypothesis Significance Testing 146 Nonparametric Statistics 146 Computer Applications 149 Conclusion 151 Part IV Advanced Topics and Approaches 153 7 Data Analysis in Statistical Education 155 Teaching with Statistical Software Tools 156 Data Analysis Packages 158 SPSS 158 Microsoft Excel 160 Other commercial data analysis programs 162 Comparing data analysis programs 163 Data Analysis Software Textbooks 165 Using Data Sets in the Classroom 166 Artificial data sets for the classroom 167 Reality-based data sets 168 Finding appropriate reality-based data sets 169 Drawbacks to using real data sets 174 Conclusion 176 8 Endings and Beginnings 179 Multivariate Statistics 180 Multiple regression 182 Logistic regression 184 Additional multivariate techniques 185 Special Topics 186 Ethics 187 Diversity 190 Online Statistical Education 193 Finishing up Any Statistics Course 195 Final Thoughts 198 References 201 Index 248

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詳細情報

• NII書誌ID(NCID): BB01888489
• ISBN:
  • 9781405155731
  • 9781405155748
• LCCN: 2008010968
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Malden, Mass
• ページ数/冊数: xix, 253 p.
• 大きさ: 24 cm
• 分類:
  • DC22 : 519.5071
• 件名:
  • LCSH : Statistics -- Study and teaching
• 親書誌ID:
  • BA84670509