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| Guided tour | |
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| Note to the reader | |
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| Why quantitative methods? | |
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| Numbers - How We Handle Them | |
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| Tools of the trade: basic numeracy skills | |
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| Spreadsheets and other computer-based resources | |
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| Numbers - A Means of Communication | |
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| Obtaining the figures: data and data collection | |
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| Presenting the figures: tables and diagrams | |
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| Summarising the figures: measures of location and spread | |
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| Measuring changes: index numbers | |
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| Numbers - A Basis for Deduction | |
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| A firm foundation: elementary probability | |
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| Patterns of probability: some distributions | |
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| Estimating from samples: inference | |
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| Checking a theory: hypothesis testing | |
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| Making it better: statistics and quality improvement | |
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| Looking for connections: correlation | |
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| Spotting the relationship: line fitting | |
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| Multiple regression | |
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| Numbers - A Tool of Planning | |
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| Planning an inventory policy: stock control and simulation | |
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| Forecasting: time-series, semi-log graphs and exponential smoothing | |
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| Allowing for interest: financial mathematics | |
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| Planning production levels: linear programming | |
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| Planning a project: network analysis | |
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| Quantitative methods in the student research project | |
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| Appendices | |
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| Suggestions for further reading | |
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| Random sampling numbers | |
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| Cumulative binomial probabilities | |
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| Cumulative Poisson probabilities | |
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| Areas under the standard normal curve | |
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| Percentage points of the [chi][superscript 2] distribution | |
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| The correlation coefficient | |
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| The t-distribution | |
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| Solutions to selected exercises | |
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| Index | |