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Offering a student-friendly introduction to quantitative methods, this text covers all of the need to know basics in a clear and engaging manner. Quantitative Methods is an ideal text for students of all levels coming to the subject for first time.
Offering a student-friendly introduction to quantitative methods, this text covers all of the need to know basics in a clear and engaging manner. Quantitative Methods is an ideal text for students of all levels coming to the subject for first time.
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Autorenporträt
Les Oakshott is a former Associate Fellow of Warwick Business School, UK.
Inhaltsangabe
PART I: MATHEMATICAL APPLICATIONS.- 1. Revision Mathematics.- 2. Keeping up with Change: Index Numbers.- PART II: COLLECTING AND INTERPRETING DATA.- 3. Collecting Data: Surveys and Samples.- 4. Finding Patterns in Data: Charts and Tables.- 5. Making Sense of Data: Averages and Measures of Spread.- PART III: PROBABILITY AND STATISTICS.- 6. Taking a Chance: Probability.- 7. The Shape of Data: Probability Distributions.- 8. Interpreting with Confidence: Analysis of Sample Data.- 9. Checking Ideas: Testing a Hypothesis.- 10. Cause and Effect: Correlation and Regression .- PART IV: DECISION MAKING TECHNIQUES.- 11. Choosing Wisely: Investment Appraisal.- 12. Forecasting: Time Series Analysis.- 13. Making the Most of Things: Linear Programming.- 14. Planning Large Projects: Critical Path Analysis.- Appendices.- Index.
PART I: MATHEMATICAL APPLICATIONS.- 1. Revision Mathematics.- 2. Keeping up with Change: Index Numbers.- PART II: COLLECTING AND INTERPRETING DATA.- 3. Collecting Data: Surveys and Samples.- 4. Finding Patterns in Data: Charts and Tables.- 5. Making Sense of Data: Averages and Measures of Spread.- PART III: PROBABILITY AND STATISTICS.- 6. Taking a Chance: Probability.- 7. The Shape of Data: Probability Distributions.- 8. Interpreting with Confidence: Analysis of Sample Data.- 9. Checking Ideas: Testing a Hypothesis.- 10. Cause and Effect: Correlation and Regression .- PART IV: DECISION MAKING TECHNIQUES.- 11. Choosing Wisely: Investment Appraisal.- 12. Forecasting: Time Series Analysis.- 13. Making the Most of Things: Linear Programming.- 14. Planning Large Projects: Critical Path Analysis.- Appendices.- Index.
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