Provides a thorough grounding in basic mathematical and statistical techniques, helping students to learn how to make decisions when presented with incomplete information. This book features coverage of statistical methods, management mathematics and probability and extensive examples and questions.
Provides a thorough grounding in basic mathematical and statistical techniques, helping students to learn how to make decisions when presented with incomplete information. This book features coverage of statistical methods, management mathematics and probability and extensive examples and questions.
Andre Francis has recently retired from his position as a medical statistician at QMC, University Hospital, Nottingham. He also taught mathematics, statistics and information processing to students on business and professional courses for many years.
Ben Mousley currently teaches mathematics and statistics in the United Arab Emirates. He also teaches postgraduate quantitative and qualitative research at the Corvinus University of Budapest, Hungary and was previously lecturer in postgraduate marketing research and undergraduate statistics.
Inhaltsangabe
1 Introduction to Business Mathematics and StatisticsPart 1. Data and their presentation2. Sampling and Data Collection3. Data and their Accuracy4. Frequency Distributions and Charts5. General Charts and GraphsPart 2. Statistical measures6. Arithmetic Mean7. Median8. Mode and Other Measures of Location9. Measures of Dispersion and Skewness10. Standard Deviation11. Quantiles and the Quartile DeviationPart 3. Regression and correlation12. Linear Functions and Graphs13. Regression Techniques14. Correlation TechniquesPart 4. Time series analysis15. Time Series Model16. Time Series Trend17. Seasonal Variation and ForecastingPart 5 Index numbers18. Index Relatives19. Composite Index Numbers20. Special Published IndicesPart 6. Compounding, discounting and annuities21. Interest and Depreciation22. Present Value and Investment Appraisal23. AnnuitiesPart 7 Business equations and graphs24. Functions and Graphs25. Linear Equations26. Quadratic and Cubic Equations27. Differentiation and Integration28. Cost, Revenue and Profit FunctionsExamination examples and questionsPart 8 Probability29. Set Theory and Enumeration30. Introduction to Probability31. Conditional Probability and ExpectationPart 9. Further probability32. Combinations and Permutations33. Binomial and Poisson Distributions34. Normal DistributionPart 10 Specialised business applications35. Linear Inequalities36. Matrices37. Inventory Control38. Network Planning and Analysis
1 Introduction to Business Mathematics and StatisticsPart 1. Data and their presentation2. Sampling and Data Collection3. Data and their Accuracy4. Frequency Distributions and Charts5. General Charts and GraphsPart 2. Statistical measures6. Arithmetic Mean7. Median8. Mode and Other Measures of Location9. Measures of Dispersion and Skewness10. Standard Deviation11. Quantiles and the Quartile DeviationPart 3. Regression and correlation12. Linear Functions and Graphs13. Regression Techniques14. Correlation TechniquesPart 4. Time series analysis15. Time Series Model16. Time Series Trend17. Seasonal Variation and ForecastingPart 5 Index numbers18. Index Relatives19. Composite Index Numbers20. Special Published IndicesPart 6. Compounding, discounting and annuities21. Interest and Depreciation22. Present Value and Investment Appraisal23. AnnuitiesPart 7 Business equations and graphs24. Functions and Graphs25. Linear Equations26. Quadratic and Cubic Equations27. Differentiation and Integration28. Cost, Revenue and Profit FunctionsExamination examples and questionsPart 8 Probability29. Set Theory and Enumeration30. Introduction to Probability31. Conditional Probability and ExpectationPart 9. Further probability32. Combinations and Permutations33. Binomial and Poisson Distributions34. Normal DistributionPart 10 Specialised business applications35. Linear Inequalities36. Matrices37. Inventory Control38. Network Planning and Analysis
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