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020 _a9789387994010
040 _cAIMIT LIBRARY
082 _211
_a519.5
_bKELG
100 _aKeller, Gerald.
_9208497
245 _aStatistics :
_bfor management and economics /
_cBy Gerald Keller and Gunjan Malhotra.
250 _a11th ed.
260 _aNew Delhi :
_bCengage ,
_c2014.
300 _axxii,798,A-5,B-30,C-9,I-12p. ;
_bPB
_c25.6 cm
500 _aStatistics for Management and Economics demonstrates that statistical methods are vital tools for today’s managers and economists. To bring home this objective, several features are required to be incorporated in this book. This book has data-driven examples, exercises, and cases that demonstrate statistical applications that are and can be used by various marketing and financial professionals. The correct selection of statistical techniques and the concepts that are essential to interpret the statistical results are taught in the book. This book reinforces the problem-solving approach allowing students to hone their skills.
501 _aEMPHASIS ON IDENTIFICATION AND INTERPRETATION WITH PRACTICAL SKILLS. With this book’s emphasis on applications rather than calculations, students can master and practice skills they can apply to real-world problems. CONVERT REAL DATA INTO INFORMATION. This book gives flexibility, with the optional use of computer software, to teach students how to work with larger data sets and more realistic exercises and examples. BOXES AND SECTIONS LIKE Factors that Identify..., APPLICATIONS in..., QuizNow. These features help in easy understanding and application of the concepts and assess their learning. REVIEW CHAPTER APPENDIXES OFFER HELPFUL FLOWCHARTS AND PRACTICE. Students will find exercises in these appendixes that allow them to develop their technique-identification skills and prepare for quizzes and exams. MORE THAN 1100 DATA SETS AND CORRESPONDING PROBLEMS TO INTERPRET STATISTICAL RESULTS. Ample opportunities to practice data analysis and important decision making using this book’s extensive exercises and timely data sets. CENGAGE APP. This book includes a licence key for our digital learning app that provides access to self-assessments and flashcards.
505 _a1 What Is Statistics? 2 Graphical Descriptive Techniques I 3 Graphical Descriptive Techniques II 4 Numerical Descriptive Techniques 5 Data Collection and Sampling 6 Probability 7 Random Variables and Discrete Probability Distributions 8 Continuous Probability Distributions 9 Sampling Distributions 10 Introduction to Estimation 11 Introduction to Hypothesis Testing 12 Inference about a Population 13 Inference about Comparing Two Populations 14 Analysis of Variance 15 Chi-Squared Tests 16 Simple Linear Regression and Correlation 17 Multiple Regression Appendix A Data File Sample Statistics Appendix B Tables Appendix C Answers to Selected Even-Numbered Exercises Index
_r Gerald Keller Gerald Keller is Emeritus Professor of Business at Wilfrid Laurier University, where he taught statistics, management science, and operations management from 1974 to 2011. He also taught at the University of Toronto, the University of Miami, McMaster University, the University of Windsor, and the Beijing Institute of Science and Technology. In addition to consulting with banks on credit scoring and credit card fraud, Dr. Keller has conducted market surveys for the Canadian government on energy conservation. His books include BSTAT, 2e, Applied Statistics with Microsoft Excel, Essentials of Business Statistics (co-authored), Australian Business Statistics (co-authored), and Statistics Laboratory Manual Experiments using MINITAB. Dr. Keller also has been published in Omega, IIE Transactions, Decision Sciences, INFOR, Economics Letters, and Archives of Surgery. Gunjan Malhotra Gunjan Malhotra is Assistant Professor, Decision Sciences and Operations Area at Institute of Management Technology (IMT) Ghaziabad, India. She did her graduation from University of Delhi, and holds doctorate and post-graduation (MA and MPhil) degrees from Devi Ahilya University, India. She has attended training programs from Kellogg School of Management, Northwestern University, USA; Institute of Management Technology (IMT), Dubai; GSERM Global Summer School, Switzerland; to name a few. Dr. Malhotra has over 11 years of experience in teaching and research in the area of business statistics, quantitative methods, and decision sciences. She has been a visiting professor in international and national institutes of repute. She has authored research based books and contributed chapters and cases in various textbooks in the area of operations and decision sciences. She has contributed in reputed international and national journals and has also conducted Executive Education Programs for leading organizations, such as ONGC India and Amdocs, and chaired various international and national conferences.
650 _aGraphical descriptive techniques
_9208498
650 _aSampling distributions
_9208499
650 _aMultiple regression
_9208500
700 _aMalhotra, Gunjan.
_9208501
942 _2ddc
_cBK
_e11th
_k519.5 KELG
999 _c234174
_d234174