Quantitative Approaches in Business Studies provides a clear and accessible introduction to the subject, carefully designed to build students' confidence in quantitative methods. The latest edition is revised throughout, with practical examples and case studies incorporating the learning material.
Quantitative Approaches in Business Studies provides a clear and accessible introduction to the subject, carefully designed to build students' confidence in quantitative methods. The latest edition is revised throughout, with practical examples and case studies incorporating the learning material.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Clare Morris has taught quantitative methods to students of business from HND to PhD level, at institutions including Bristol Polytechnic, Warwick Business School and Cardiff Business School. She is currently an Emeritus Professor at the University of Gloucestershire.
Inhaltsangabe
Introduction: Why quantitative methods? Part 1 NUMBERS how we handle them 1. Tools of the trade: basic numeracy skills Part 2 NUMBERS a means of communication 1. Obtaining the figures: data and data collection 2. Presenting the figures: tables and diagrams 3. Summarising the figures: measures of location and spread 4. Measuring changes: index numbers Part 3 NUMBERS a basis for deduction 5. A firm foundation: elementary probability 6. Patterns of probability: some distributions 7. Estimating from samples: inference 8. Checking a theory: hypothesis testing 9. Making it better: statistics and quality improvement 10. Looking for connections: correlation 11. Spotting the relationship: line fitting 12. Multiple regression Part 4 NUMBERS a tool of planning 13. Planning an inventory policy: stock control and simulation 14. Forecasting: time-series, semi-log graphs and exponential smoothing 15. Allowing for interest: financial mathematics 16. Planning production levels: linear programming 17. Planning a project: network analysis 18. Quantitative methods in the student research project
Introduction: Why quantitative methods? Part 1 NUMBERS how we handle them 1. Tools of the trade: basic numeracy skills Part 2 NUMBERS a means of communication 1. Obtaining the figures: data and data collection 2. Presenting the figures: tables and diagrams 3. Summarising the figures: measures of location and spread 4. Measuring changes: index numbers Part 3 NUMBERS a basis for deduction 5. A firm foundation: elementary probability 6. Patterns of probability: some distributions 7. Estimating from samples: inference 8. Checking a theory: hypothesis testing 9. Making it better: statistics and quality improvement 10. Looking for connections: correlation 11. Spotting the relationship: line fitting 12. Multiple regression Part 4 NUMBERS a tool of planning 13. Planning an inventory policy: stock control and simulation 14. Forecasting: time-series, semi-log graphs and exponential smoothing 15. Allowing for interest: financial mathematics 16. Planning production levels: linear programming 17. Planning a project: network analysis 18. Quantitative methods in the student research project
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