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040			_cAIMIT LIBRARY
082			_217 _a519.5068 _bLIND
100			_aLind, Douglas A. _9208644
245			_aStatistical techniques in business and economics / _cBy Douglas A Lind, William G Marchal and Samuel A Wathen.
250			_a17th ed.
260			_aChennai : _bMcGraw Hill Education Pvt Ltd , _c2021.
300			_axxv,863p. ; _bPB _c25.8 cm
500			_aOverview Statistical Techniques in Business and Economics provides readers with an introductory survey of descriptive and inferential statistics. The text is interspersed with examples and exercises focusing on business applications as well as on the current world around us. The book supports the development of basic data analytics skills. In keeping with recent trends, an entire section has been dedicated to Data Analytics. A variety of statistical software has been made available to complement the text.
501			_akey Features: 1. Already established as a popular textbook on the subject area, Statistical Techniques in Business and Economics, 17e continues to take the legacy forward with recent updates. 2. Section on Data Analytics at the end of every chapter 3. Comprehensive coverage of the entire gamut of topics on business statistics 4. Wide array of pedagogical features including chapter opening exercises, introduction to the topic, self-reviews, statistics in action boxes, computer output, pronunciation keys, software commands, and data analytics 5. Text complemented with popular software applications such as Megastat with MS Excel, Minitab, SPSS, and JMP
505			_r Contents : 1. What Is Statistics? 2. Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation 3. Describing Data: Numerical Measures 4. Describing Data: Displaying and Exploring Data 5. A Survey of Probability Concepts 6. Discrete Probability Distributions 7. Continuous Probability Distributions 8. Sampling Methods and the Central Limit Theorem 9. Estimation and Confidence Intervals 10. One-Sample Tests of Hypothesis 11. Two-Sample Tests of Hypothesis 12. Analysis of Variance 13. Correlation and Linear Regression 14. Multiple Regression Analysis 15. Nonparametric Methods: Nominal Level Hypothesis Tests 16. Nonparametric Methods: Analysis of Ordinal Data 17. Index Numbers 18. Time Series and Forecasting 19. Statistical Process Control and Quality Management 20. An Introduction to Decision Theory
650			_aDiscrete probability distributions _9208645
650			_2Estimation and confidence intervals
650			_aEstimation and confidence intervals _9208646
700			_aMarchal, William G. _9208647
700			_aWathen, Samuel A. _9208648
942			_2ddc _cBK _e17th _k519.5068 LIND
999			_c234208 _d234208