Quantitative Methods for Business and Management
Frank W. Dewhurst · 2002
Part A: The Foundations of Quantitative Methods Ch 1 Quantitative Methods and what this book is all about 1.1 What is Quantitative Methods? 1.2 How to use this book 1.3 Using calculators, computers and spreadsheets 1.4 Chapter review Ch 2 Quantities and Elementary Arithmetic 2.1 Number systems 2.2 Truncating, rounding and precision 2.3 Arithmetic operations and notation 2.4 Powers, roots and logarithms 2.5 Operator precedence 2.6 Fractions, ratios and percentages 2.7 Units of measurement 2.8 Chapter review Ch 3 Computing, Notational Systems and Algebra 3.1 Algorithms, Variables and Algebra 3.2 Simultaneous and systems of equations 3.3 Scalars, Vectors, Matrices and Arrays 3.4 Subscripted Variables and Sigma Notation 3.5 Chapter review Ch 4 Matrix algebra 4.1 Matrix addition and subtraction 4.2 Matrix multiplication 4.3 Special matrices 4.4 Using matrices to solve systems of equations 4.5 Finding the inverse and the determinant of a matrix 4.6 Chapter review Ch5 Sets and counting 5.1 Set Notation, Set Properties and Venn Diagrams 5.2 Counting, factorials, permutations and combinations 5.3 Pascal's triangle and binomial coefficients 5.4 Chapter review Ch6 Elementary statistics 6.1 The meaning and nature of Statistics 6.2 Sampling and data collection 6.3 Presenting and describing small data sets 6.4 Presenting and describing large data sets 6.5 Measures of location 6.6 Measures of variation 6.7 Index numbers 6.8 Chapter review Part A Closing comments Mini cases: Tops 'n' Bottoms, CompRus Ltd, JoowelsStore Part B: Models and Analysis for Business and Management Ch 7 Probability and Statistical Models 7.1 Probability 7.2 The Binomial distribution 7.3 The Poisson distribution 7.4 The Exponential distribution 7.5 The Normal distribution 7.6 Chapter review Ch 8 Introduction to inferential statistics 8.1 Estimating and Confidence intervals 8.2 An introduction to Hypothesis testing 8.3 Non-parametric tests 8.4 Chapter review Ch 9 Modelling simple relationships 9.1 Relationships, functions and equations 9.2 Linear functions 9.3 Least-squares linear regression 9.4 Appropriateness and correlation 9.5 Chapter review Ch 10 Non-linear and multivariate functions 10.1 Quadratic functions 10.2 Polynomial functions 10.3 Hyperbolic functions 10.4 Exponential functions 10.5 Multivariate functions 10.6 Chapter review Ch11 Analysing models 11.1 Graphical and numerical analysis 11.2 Marginal analysis and differentiation 11.3 Elasticity 11.4 Optimisation 11.5 Integration 11.6 Partial differentiation and applications 11.7 Chapter review Ch12 Time series analysis 12.1 Classical time series analysis 12.2 Methods for Classical time series analysis and forecasting 12.3 Exponential smoothing 12.4 Chapter review Ch 13 Models for Finance and Accounting 13.1 Simple interest and compound growth 13.2 Multiple compounding, APR and continuous compounding 13.3 Discounting and other related applications of compound growth 13.4 Savings, Endowments and Sinking Funds. 13.5 Loans, Mortgages and Annuities 13.6 Chapter review Part B Closing comments Mini cases: NHTBeds, Firmecon, Mr and Mrs Lean Part C: Modelling and Analysing Decisions Ch14 An introduction to decision analysis 14.1 Decisions under certainty, uncertainty and risk 14.2 Decisions under uncertainty 14.3 Decisions under risk 14.4 Chapter review Ch15 Decisions in finance 15.1 Discounted Cash Flow and Net Present Value 15.2 Internal Rate of Return 15.3 Payback Period 15.4 Chapter review Ch 16 An Introduction to Mathematical Programming 16.1 An introduction to Linear Programming 16.2 Solving Linear Programs graphically 16.3 An introduction to the Simplex Method 16.4 An introduction to non-linear programming 16.5 Chapter review Part C: Closing Comments Mini cases: Makit Ltd, Pandbe Co., PrintRus Further Reading Tables Index