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Modern Interdisciplinary University Statistics Education : Proceedings of a Symposium.

Material type: TextTextPublisher: Washington, D.C. : National Academies Press, 1994Copyright date: ©1994Edition: 1st edDescription: 1 online resource (149 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780309586382
Subject(s): Genre/Form: Additional physical formats: Print version:: Modern Interdisciplinary University Statistics EducationDDC classification:
  • 519.5/071/173
LOC classification:
  • QA276.18 -- .N38 1994eb
Online resources:
Contents:
MODERN INTERDISCIPLINARY UNIVERSITY STATISTICSEDUCATION -- Copyright -- Preface -- Contents -- Opening Remarks -- Part I What the Customer Needs in Statisticians -- What Industry Needs -- ABSTRACT -- INTRODUCTION -- INTERDISCIPLINARY STATISTICS RESEARCH AND EDUCATION -- WHAT NEEDS TO BE DONE? -- CONCLUSION -- ACKNOWLEDGMENTS -- References -- What Academia Needs -- References -- What the Government Needs -- A Larger Perspective -- Discussion -- Educating Statisticians for the 21st Century -- References -- Modernizing Statistics PhD Programs -- THE FUTURE UNIVERSITY ENVIRONMENT -- A MAJOR DILEMMA -- CMU'S PHD PROGRAM -- Year 1 (MS Program) -- Perspectives in Statistics -- Statistical Practice -- Year 2 -- Years 3 and 4 -- TRAINING IN TEACHING -- SUGGESTIONS AND CAUTIONS -- APPENDIX -- Examples of Statistical Practice Projects -- Examples of Advanced Data Analysis Projects -- Respondent -- References -- Respondent -- Discussion -- Part II How-and How Not-to Implement Content and Experiences -- Some International Perspectives -- STATISTICS-THEORY VERSUS APPLICATIONS -- THE PROGRAM AT UCSB -- CONCLUDING REMARKS -- References -- Discussion -- A University Statistics Program Based on Quality Principles -- INTRODUCTION -- VOICE OF THE CUSTOMER -- VOICE OF THE PROCESS -- CURRICULUM PRINCIPLES -- SOME SUGGESTIONS FOR THE CURRICULUM -- Measurement -- Variation -- Mathematical Statistics and Probability -- Analogy and Metaphor -- Model Description and Presentation -- Bias -- Sense Deception -- Design of Observational and Randomized Experiments -- PEDAGOGY -- Grades -- Mastery -- Journal -- Feedback to Instructors -- Discovery -- Group Learning -- SUMMARY -- References -- Chance: A Course About Current Chance News -- Modernizing Graduate Programs in Statistics-Case Study -- Respondent What Is Interdisciplinary Research? -- WHAT IS INTERDISCIPLINARITY?.
EXAMPLES OF INTERDISCIPLINARY ACTIVITIES -- HOW DO WE DO INTERDISCIPLINARY RESEARCH? -- BUILDING APPLICATIONS INTO STATISTICS COURSES -- WHAT IS MIUSE? -- HOW TO DO IT -- References -- Respondent -- References -- Discussion -- References -- Appendices -- Appendix A Speakers and Session Chairs -- Appendix B Symposium Participants.
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MODERN INTERDISCIPLINARY UNIVERSITY STATISTICSEDUCATION -- Copyright -- Preface -- Contents -- Opening Remarks -- Part I What the Customer Needs in Statisticians -- What Industry Needs -- ABSTRACT -- INTRODUCTION -- INTERDISCIPLINARY STATISTICS RESEARCH AND EDUCATION -- WHAT NEEDS TO BE DONE? -- CONCLUSION -- ACKNOWLEDGMENTS -- References -- What Academia Needs -- References -- What the Government Needs -- A Larger Perspective -- Discussion -- Educating Statisticians for the 21st Century -- References -- Modernizing Statistics PhD Programs -- THE FUTURE UNIVERSITY ENVIRONMENT -- A MAJOR DILEMMA -- CMU'S PHD PROGRAM -- Year 1 (MS Program) -- Perspectives in Statistics -- Statistical Practice -- Year 2 -- Years 3 and 4 -- TRAINING IN TEACHING -- SUGGESTIONS AND CAUTIONS -- APPENDIX -- Examples of Statistical Practice Projects -- Examples of Advanced Data Analysis Projects -- Respondent -- References -- Respondent -- Discussion -- Part II How-and How Not-to Implement Content and Experiences -- Some International Perspectives -- STATISTICS-THEORY VERSUS APPLICATIONS -- THE PROGRAM AT UCSB -- CONCLUDING REMARKS -- References -- Discussion -- A University Statistics Program Based on Quality Principles -- INTRODUCTION -- VOICE OF THE CUSTOMER -- VOICE OF THE PROCESS -- CURRICULUM PRINCIPLES -- SOME SUGGESTIONS FOR THE CURRICULUM -- Measurement -- Variation -- Mathematical Statistics and Probability -- Analogy and Metaphor -- Model Description and Presentation -- Bias -- Sense Deception -- Design of Observational and Randomized Experiments -- PEDAGOGY -- Grades -- Mastery -- Journal -- Feedback to Instructors -- Discovery -- Group Learning -- SUMMARY -- References -- Chance: A Course About Current Chance News -- Modernizing Graduate Programs in Statistics-Case Study -- Respondent What Is Interdisciplinary Research? -- WHAT IS INTERDISCIPLINARITY?.

EXAMPLES OF INTERDISCIPLINARY ACTIVITIES -- HOW DO WE DO INTERDISCIPLINARY RESEARCH? -- BUILDING APPLICATIONS INTO STATISTICS COURSES -- WHAT IS MIUSE? -- HOW TO DO IT -- References -- Respondent -- References -- Discussion -- References -- Appendices -- Appendix A Speakers and Session Chairs -- Appendix B Symposium Participants.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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