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008 081025s1996 enka | 001 0 eng d
010 _agb 96-042220
020 _a0273607650 (pbk)
039 9 _a201402040052
_bVLOAD
_c201005181259
_dmalmash
_c200810251010
_dvenkatrajand
_c200810251009
_dvenkatrajand
_y200810250939
_zvenkatrajand
050 _aHD30.215
_b.W576 1996
100 1 _aWisniewski, Mik.
_91015
245 1 0 _aFoundation Quantitative Methods for Business /
_cMik Wisniewski with Richard Stead.
260 _aLondon :
_bPitman,
_c1996.
300 _avii, 499 p. :
_bill. ;
_c25 cm.
505 _a$a Introduction. 1. Tools of the Trade. 2. Data Collection and Data Sources. 3. Tables in Business. 4. Business Diagrams. 5. Business Diagrams: Histograms. 6. Management Statistics. 7. Dealing with Uncertainty in Business. 8. The Principles of Market and Statistical Inference. 9. Business Mathematics: Linear Equations and Graphs. 10. Business Mathematics: Simple Linear Regression. 11. Business Forecasting: Simple Linear Regression. 12. Business Forecasting: Time Series Analysis. 13. Business Mathematics: Financial Decisions. Appendix 1: Solutions to Self Review Questions. Appendix 2: Binomial Distribution. Appendix 3: Normal Distribution.
520 _a$a Students of business and management are expected to have basic numerical skills from GCSE maths. Often, these skills are forgotten in the two years or so between GCSE maths and the commencement of a degree. The aim of this text is to help students bridge the gap between school and university and to ensure that not only are the appropriate quantitative skills developed, but also that the student develops an understanding of the role of QM in a modern business environment. The text uses diagrams, illustrations and graphs from the real world to illustrate the application of techniques. Examples of output from common business software (Lotus, SuperCalc, Minitab etc) are included.
650 0 _aManagement
_xMathematical models.
_91016
650 0 _aManagement
_xStatistical methods.
_91017
700 1 _aStead, Richard,
_91018
942 _2lcc
_n0
_cBK
999 _c284
_d284