Series Editors’ Preface	13
	Preface	17
	I Course Preparation	21
	Chapter 1 Teaching Statistics A beginning	23
	So Why Teach Statistics?	25
	Historical Pedagogical Controversies	27
	Who should teach statistics?	27
	Statistics labs and related technology	28
	Content of statistics courses	30
	Statistics in Relation to the Discipline	31
	Sequence of the Class and Topics	32
	Introducing Research Methods within the Context of Statistics	36
	Student Populations	37
	Mathematical ability	37
	Cognitive ability and learning styles	39
	Self-efficacy and motivation	40
	Gender	42
	Helping Your Students Survive Statistics	43
	Conclusion	45
	Chapter 2 Nuts and Bolts of Teaching Statistics	47
	Syllabus Construction	48
	Textbook Selection	50
	Conceptual orientation	51
	Level of difficulty	53
	Chapter topics and organization	54
	Core formulas and vocabulary	55
	Type of data sets/quality of the exercises	56
	Traditional Versus Electronic Textbooks	57
	Supplemental Materials	58
	Study guides	59
	Companion Web sites	59
	Computer tutorials	60
	Electronic Discussion Boards	62
	Multimedia Tools	64
	Presentation technology	65
	Interactive applications: Java applets, Flash, Shockwave, and HTML	66
	Multimedia simulation programs	68
	Conclusion	69
	II Theoretical and Pedagogical Concerns	71
	Chapter 3 Educational Reform in Statistics	73
	Educational Reform	74
	Statistically Educated Students	76
	Statistical Literacy	79
	Knowledge elements	80
	Dispositional elements	82
	Statistical Thinking	83
	Statistical Reasoning	86
	Misconceptions Impacting the Development of Literacy, Thinking, and Reasoning	90
	Final Thoughts on Statistical Literacy, Thinking, and Reasoning	92
	Assessment	93
	What is the role of assessment?	93
	What is the role of authentic assessment?	94
	Assessment and learning outcomes or goals	95
	Conclusion	97
	Chapter 4 In the Classroom	99
	Conceptual Learning, Active Learning, and Real Data	100
	Conceptual learning versus rote memorization	100
	Active learning	102
	Real data	103
	Instructional Techniques	104
	Lecture	105
	The use of questions	106
	Practice problems and examples	107
	Journal assignments	108
	Activities and demonstrations	109
	Writing assignments	110
	Concept maps	113
	Cooperative learning	114
	Projects	115
	Assessment	117
	Principles of effective assessment	117
	Mastery learning	118
	Confronting Fear and Anxiety	119
	Conclusion	121
	III Teaching Specific Statistical Concepts	123
	Chapter 5 Descriptive Statistics and Bivariate Distributions	125
	Graphing Data	126
	The use of graphs in science	127
	Elements of good design	128
	Human graphical perception	129
	Available graphing methods	130
	Software design	131
	Normal Distribution	132
	Measures of Central Tendency	134
	Measures of Variability	137
	Correlation	139
	Simple Linear Regression	142
	Computer Applications	145
	Conclusion	147
	Chapter 6 Teaching Hypothesis Testing	149
	Samples, Sampling Distributions, and the Central Limit Theorem	151
	Confidence Intervals	153
	Introduction to Null Hypothesis Testing	155
	Additional Introduction to Hypothesis Testing Concepts	158
	Power	158
	Effect sizes	160
	Type I and Type II errors	161
	Analysis of Variance	162
	Introduction to ANOVA	162
	Violating ANOVA assumptions	163
	Factorial ANOVA	164
	General linear model	165
	The Debate Surrounding Null Hypothesis Significance Testing	166
	Nonparametric Statistics	166
	Computer Applications	169
	Conclusion	171
	IV Advanced Topics and Approaches	173
	Chapter 7 Data Analysis in Statistical Education	175
	Teaching with Statistical Software Tools	176
	Data Analysis Packages	178
	SPSS	178
	Microsoft Excel	180
	Other commercial data analysis programs	182
	Comparing data analysis programs	183
	Data Analysis Software Textbooks	185
	Using Data Sets in the Classroom	186
	Artificial data sets for the classroom	187
	Reality-based data sets	188
	Finding appropriate reality-based data sets	189
	Drawbacks to using real data sets	194
	Conclusion	196
	Chapter 8 Endings and Beginnings	199
	Multivariate Statistics	200
	Multiple regression	202
	Logistic regression	204
	Additional multivariate techniques	205
	Special Topics	206
	Ethics	207
	Diversity	210
	Online Statistical Education	213
	Finishing up Any Statistics Course	215
	Final Thoughts	218
	References	221
	Index	268