000			02854nam a22002897a 4500
005			20220316113649.0
008			220316b ||||| |||| 00| 0 eng d
020			_a9781138300002
040			_cAloy
041			_aeng
082			_223 _a519.5 _bWALS
100			_aDerek K Waller _923875
245			_aStatistics for business
250			_a2nd ed.
260			_aLondon _bRoutledge _c2017
300			_axxvi,646 p. _bPB _c24x17 cm.
365			_2Statistics _a6321 _b600.00 _c₹ _d750.00 _e20% _f08-03-2022
520			_aStatistics for Business explains the fundamentals of statistical analysis in a lucid, pragmatic way. A thorough knowledge of statistics is essential for decision making in all corners of business and management. By collecting, organizing and analyzing statistical data you can express what you know, benchmark your current situation, and estimate future outcomes. Based entirely on Microsoft Excel, this book covers a spectrum of statistic fundamentals from basic principles, to probability, sampling, hypothesis testing, forecasting, statistical process control and six-sigma management. This second edition is packed with features to aid understanding and help ensure that every aspect of your knowledge of statistics is applicable to practice, including: Icebreakers introducing each chapter that relate statistics to the real world, drawn from management and hospitality situations Detailed worked examples in each chapter Over 140 case-exercises complete with objective, situation, requirements, and answers A complete glossary of key terminology and formulas, mathematical relationships, and Excel relationships and functions A brand new companion website containing slides, worked-out-solutions to the case-exercises, and a test bank [coming soon] With a clear and accessible style this book makes statistics easier to understand. It is ideal for business, management, tourism and hospitality students who want to learn how to apply statistics to the real world. Table of Contents 1. Characterizing and Defining Data 2. Presenting and Organizing Data 3. Essentials of Probability and Counting Rules 4. Discrete Data and Probability 5. Continuous Distributions and Probability 6. Methods and Theory of Statistical Sampling 7. Estimating Population Characteristics 8. Hypothesis Testing From a Single Population 9. Hypothesis Testing From Different Populations 10. Forecasting From Correlated Data 11. Business Decisions and Risk 12. Statistical Process Control, SPC 13. Six-Sigma Management
650			_aStatistical Data _923863
650			_aPresenting and Organizing Data _923864
650			_aProbability _923865
650			_aStatistical Sampling _923866
650			_aHypothesis Testing _923867
650			_aSix-sigma Management _923868
700			_aWALLER (Derek L) _923869
942			_2ddc _cBK
999			_c221905 _d221905