000			02023nam a22002417a 4500
999			_c1380 _d1380
005			20211012131428.0
008			211012b ||||| |||| 00| 0 eng d
020			_a9789385965630
082			_a519.5 _bSRI
100			_aSrivastava, T N _94094
245			_aStatistics for management
250			_a3rd
260			_bMcGraw Hill Education (India) Pvt. Ltd. _aNew Delhi _c2016
300			_axxvi, 743 p.
365			_aINR _b845.00
504			_aTable of content Chapter 1: Introduction—Scope and Applications Chapter 2: Types, Sources and Collection of Data Chapter 3: Presentation of Data Chapter 4: Measures of Central Tendency and Dispersion Chapter 5: Probability Chapter 6: Sampling Techniques Chapter 7: Statistical Distributions Chapter 8: Simple Correlation and Regression Analysis Chapter 9: Multiple Correlation and Regression Analysis Chapter 10: Statistical Inference Chapter 11: Analysis of Variance and Design of Experiments Chapter 12: Non-Parametric Tests Chapter 13: Time Series Analysis Chapter 14: Forecasting Method Chapter 15: Decision Theory Chapter 16: Index Number Chapter 17: Role of Statistics in Quality Management Appendix I - Excel - A Tool for Statistical Analysis Appendix II - Symbols, Notation, Some results and Formulae Appendix III - Introduction to IBM® SPSS® Statistics 18 * Statistical Tables * Answers to Exercises * Index
520			_aThis well-known textbook continues to offer comprehensive coverage on use of statistics for managerial decision making. The content in this new edition is very apt for the students to understand, analyse and take decisions in real-life management scenarios. Simple language and rich pedagogy make it an easy-to-understand and appropriate textbook for management students and practicing managers.
650			_aManagement--Statistical methods _91037
650			_aSocial sciences--Statistical methods _91897
650			_aCommercial statistics _91041
700			_aRego, Shailaja _94095
942			_2ddc _cBK