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Rights & Permissions Free Resources Display this book on your site! Related Titles Statistics, Testing, and Defense Acquisition:New Approaches and Methodological Improvements Statistical Methods for Testing and Evaluating Defense Systems:Interim Report Other Related Titles Statistical Issues in Defense Analysis and Testing: Summary of a Workshop (1994) Commission on Behavioral and Social Sciences and Education (CBASSE) Commission on Physical Sciences, Mathematics, and Applications (CPSMA) Citation Manager Export the bibliographic data for this book in your chosen format Web Search Builder Use this book's key terms to search within this book, across our collection, or across the Web. Skim This Chapter Skim this chapter and use this chapter's key terms to search within this book. Reference Finder Paste in your own text to find books that relate to your topic. Citation Manager . "THE FUTURE." Statistical Issues in Defense Analysis and Testing: Summary of a Workshop. Washington, DC: The National Academies Press, 1994. Please select a format: Page 45   E-mail Share on facebook Facebook Share on delicious Delicious Share on stumbleupon Stumble Share on twitter Twitter More Sharing ServicesMore The following HTML text is provided to enhance online readability. Many aspects of typography translate only awkwardly to HTML. Please use the page image as the authoritative form to ensure accuracy. The Future One long-term goal of the workshop was to foster more and better communication between the defense community and the statistical community about defense problems with significant statistical components. The success of this workshop in engendering an effective exchange of ideas in the weapon systems evaluation and testing arena is encouraging. However, Chu pointed out that DoD has only 272 positions classified as statisticians of its 800,000 total civilian positions, a mere .034 percent. The number 272 may even be regarded as an upper limit, because the qualifications of individuals with this classification may not be consistent with what might be desirable for professional statisticians. While statisticians are certainly not the only people capable of developing and applying sound statistical methods, these numbers suggest that there are ample opportunities to increase the effective use of statistical thinking in defense analysis. Statistical science may help to provide guiding principles for assessing the adequacy of testing and for determining the level of evidence needed to confirm the effectiveness and suitability of a prospective defense system. Legal requirements and current practices may constrain operational testing and evaluation procedures. A thorough statistical investigation might determine whether such constraints exist and quantify the effects of suboptimal test plans. Page 45 FRONT MATTER (R1-R8) CONTENTS (R9-R10) PREFACE (R11-R12) INTRODUCTION AND OVERVIEW (1-7) EXPERIMENTAL DESIGN (8-12) SOURCES OF VARIABILITY (13-18) COMMUNICATING UNCERTAINTY TO DECISION MAKERS (19-22) LINKING INFORMATION ACROSS THE ACQUISITION PROCESS (23-32) PITFALLS OF HYPOTHESIS TESTING (33-37) COOPERATION VERSUS ADVOCACY IN DECISION MAKING (38-41) DATA STORAGE AND USE (42-44) THE FUTURE (45-45) REFERENCES AND BIBLIOGRAPHY (46-48) APPENDIXES (49-58)

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Statistical Issues in Defense Analysis and Testing: Summary of a Workshop The Future One long-term goal of the workshop was to foster more and better communication between the defense community and the statistical community about defense problems with significant statistical components. The success of this workshop in engendering an effective exchange of ideas in the weapon systems evaluation and testing arena is encouraging. However, Chu pointed out that DoD has only 272 positions classified as statisticians of its 800,000 total civilian positions, a mere .034 percent. The number 272 may even be regarded as an upper limit, because the qualifications of individuals with this classification may not be consistent with what might be desirable for professional statisticians. While statisticians are certainly not the only people capable of developing and applying sound statistical methods, these numbers suggest that there are ample opportunities to increase the effective use of statistical thinking in defense analysis. Statistical science may help to provide guiding principles for assessing the adequacy of testing and for determining the level of evidence needed to confirm the effectiveness and suitability of a prospective defense system. Legal requirements and current practices may constrain operational testing and evaluation procedures. A thorough statistical investigation might determine whether such constraints exist and quantify the effects of suboptimal test plans.

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thorough statistical