| 000 | 01248nam a22001697a 4500 | ||
|---|---|---|---|
| 003 | SGT | ||
| 020 | _a9788131509685 | ||
| 082 | _a658.4,KEL | ||
| 100 | _aKELLER,GERALD | ||
| 245 | _aSTATISTICS FOR MANAGEMENT | ||
| 250 | _a1ST | ||
| 260 |
_aNEW DELHI _bCENGAGE LEARNING _c2009 |
||
| 300 | _a718 | ||
| 650 | _aSTATISTICS MANAGEMENT | ||
| 653 | _a'1. 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. 18. MODEL BUILDING. 19. NONPARAMETRIC STATISTICS. 20. TIME-SERIES ANALYSIS AND FORECASTING. 21. STATISTICAL PROCESS CONTROL. 22. DECISION ANALYSIS. 23. CONCLUSION. APPENDIX A. DATA FILE SAMPLE STATISTICS. APPENDIX B. TABLES. APPENDIX C. ANSWERS TO SELECTED EVEN-NUMBERED EXERCISES. INDEX. | ||
| 942 |
_2ddc _cFCM _02 |
||
| 999 |
_c9002 _d9002 |
||