Eric Sowey, School of Economics, The University of NSW, Australia. Eric has 40 years' experience in teaching statistics and econometrics at all undergraduate and postgraduate levels and holds a UNSW Vice-Chancellor's Award for Excellence in Teaching.Peter Petocz, has been a statistics educator and researcher in statistics education for several decades. He is the author of numerous academic journal articles, book chapters and refereed conference presentations on various aspects of statistics pedagogy (over 40 during the last decade). Peter has been co-editor of the Statistics Education Research Journal (SERJ) since 2008, and has been involved with organising the two most recent International Conferences on Teaching Statistics.

"Emphatically, this is not a textbook, but it could be an immensely useful resource to teachers who wish to demonstrate the power and diversity of statistical reasoning, or set interesting tasks for their charges."(John Haigh, Significance, Volume 14, Issue 4, August 2017)

• Preface ixAcknowledgments xiPart I Introduction 11 Why is statistics such a fascinating subject? 32 How statistics differs from mathematics 133 Statistical literacy – essential in the 21st century! 204 Statistical inquiry on the web 26Part II Statistical description 335 Trustworthy statistics are accurate, meaningful and relevant 356 Let’s hear it for the standard deviation! 437 Index numbers – time travel for averages 508 The beguiling ways of bad statistics I 599 The beguiling ways of bad statistics II 66Part III Preliminaries to inference 7510 Puzzles and paradoxes in probability 7711 Some paradoxes of randomness 8412 Hidden risks for gamblers 9113 Models in statistics 9914 The normal distribution: history, computation and curiosities 107Part IV Statistical inference 11515 The pillars of applied statistics I – estimation 11716 The pillars of applied statistics II – hypothesis testing 12217 ‘Data snooping’ and the significance level in multiple testing 12918 Francis Galton and the birth of regression 13519 Experimental design – piercing the veil of random variation 14120 In praise of Bayes 149Part V Some statistical byways 15721 Quality in statistics 15922 History of ideas: statistical personalities and the personalities of statisticians 16523 Statistical eponymy 17824 Statistical ‘laws’ 18225 Statistical artefacts 192Part VI Answers 19726 Answers to the chapter questions 199Index 306

Eric Sowey, School of Economics, The University of NSW, Australia. Eric has 40 years' experience in teaching statistics and econometrics at all undergraduate and postgraduate levels and holds a UNSW Vice-Chancellor's Award for Excellence in Teaching.Peter Petocz, has been a statistics educator and researcher in statistics education for several decades. He is the author of numerous academic journal articles, book chapters and refereed conference presentations on various aspects of statistics pedagogy (over 40 during the last decade). Peter has been co-editor of the Statistics Education Research Journal (SERJ) since 2008, and has been involved with organising the two most recent International Conferences on Teaching Statistics.

"Emphatically, this is not a textbook, but it could be an immensely useful resource to teachers who wish to demonstrate the power and diversity of statistical reasoning, or set interesting tasks for their charges."(John Haigh, Significance, Volume 14, Issue 4, August 2017)

• Preface ixAcknowledgments xiPart I Introduction 11 Why is statistics such a fascinating subject? 32 How statistics differs from mathematics 133 Statistical literacy – essential in the 21st century! 204 Statistical inquiry on the web 26Part II Statistical description 335 Trustworthy statistics are accurate, meaningful and relevant 356 Let’s hear it for the standard deviation! 437 Index numbers – time travel for averages 508 The beguiling ways of bad statistics I 599 The beguiling ways of bad statistics II 66Part III Preliminaries to inference 7510 Puzzles and paradoxes in probability 7711 Some paradoxes of randomness 8412 Hidden risks for gamblers 9113 Models in statistics 9914 The normal distribution: history, computation and curiosities 107Part IV Statistical inference 11515 The pillars of applied statistics I – estimation 11716 The pillars of applied statistics II – hypothesis testing 12217 ‘Data snooping’ and the significance level in multiple testing 12918 Francis Galton and the birth of regression 13519 Experimental design – piercing the veil of random variation 14120 In praise of Bayes 149Part V Some statistical byways 15721 Quality in statistics 15922 History of ideas: statistical personalities and the personalities of statisticians 16523 Statistical eponymy 17824 Statistical ‘laws’ 18225 Statistical artefacts 192Part VI Answers 19726 Answers to the chapter questions 199Index 306

Eric Sowey, School of Economics, The University of NSW, Australia. Eric has 40 years' experience in teaching statistics and econometrics at all undergraduate and postgraduate levels and holds a UNSW Vice-Chancellor's Award for Excellence in Teaching.Peter Petocz, has been a statistics educator and researcher in statistics education for several decades. He is the author of numerous academic journal articles, book chapters and refereed conference presentations on various aspects of statistics pedagogy (over 40 during the last decade). Peter has been co-editor of the Statistics Education Research Journal (SERJ) since 2008, and has been involved with organising the two most recent International Conferences on Teaching Statistics.

"Emphatically, this is not a textbook, but it could be an immensely useful resource to teachers who wish to demonstrate the power and diversity of statistical reasoning, or set interesting tasks for their charges."(John Haigh, Significance, Volume 14, Issue 4, August 2017)

• Preface ixAcknowledgments xiPart I Introduction 11 Why is statistics such a fascinating subject? 32 How statistics differs from mathematics 133 Statistical literacy – essential in the 21st century! 204 Statistical inquiry on the web 26Part II Statistical description 335 Trustworthy statistics are accurate, meaningful and relevant 356 Let’s hear it for the standard deviation! 437 Index numbers – time travel for averages 508 The beguiling ways of bad statistics I 599 The beguiling ways of bad statistics II 66Part III Preliminaries to inference 7510 Puzzles and paradoxes in probability 7711 Some paradoxes of randomness 8412 Hidden risks for gamblers 9113 Models in statistics 9914 The normal distribution: history, computation and curiosities 107Part IV Statistical inference 11515 The pillars of applied statistics I – estimation 11716 The pillars of applied statistics II – hypothesis testing 12217 ‘Data snooping’ and the significance level in multiple testing 12918 Francis Galton and the birth of regression 13519 Experimental design – piercing the veil of random variation 14120 In praise of Bayes 149Part V Some statistical byways 15721 Quality in statistics 15922 History of ideas: statistical personalities and the personalities of statisticians 16523 Statistical eponymy 17824 Statistical ‘laws’ 18225 Statistical artefacts 192Part VI Answers 19726 Answers to the chapter questions 199Index 306