Part A: The Foundations of Quantitative MethodsCh 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 reviewCh 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 reviewCh 3 Computing, Notational Systems and Algebra 3.1 Algorithms, Variables and Algebra3.2 Simultaneous and systems of equations 3.3 Scalars, Vectors, Matrices and Arrays 3.4 Subscripted Variables and Sigma Notation 3.5 Chapter reviewCh 4 Matrix algebra 4.1 Matrix addition and subtraction4.2 Matrix multiplication4.3 Special matrices 4.4 Using matrices to solve systems of equations 4.5 Finding the inverse and the determinant of a matrix4.6 Chapter reviewCh5 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 coefficients5.4 Chapter reviewCh6 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 reviewPart A Closing commentsMini cases: Tops `n' Bottoms, CompRus Ltd, JoowelsStorePart 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 distribution7.5 The Normal distribution7.6 Chapter review Ch 8 Introduction to inferential statistics 8.1 Estimating and Confidence intervals8.2 An introduction to Hypothesis testing8.3 Non-parametric tests8.4 Chapter reviewCh 9 Modelling simple relationships 9.1 Relationships, functions and equations 9.2 Linear functions 9.3 Least-squares linear regression9.4 Appropriateness and correlation9.5 Chapter reviewCh 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 reviewCh11 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 applications11.7 Chapter review Ch12 Time series analysis 12.1 Classical time series analysis12.2 Methods for Classical time series analysis and forecasting 12.3 Exponential smoothing 12.4 Chapter reviewCh 13 Models for Finance and Accounting 13.1 Simple interest and compound growth13.2 Multiple compounding, APR and continuous compounding 13.3 Discounting and other related applications of compound growth13.4 Savings, Endowments and Sinking Funds. 13.5 Loans, Mortgages and Annuities 13.6 Chapter reviewPart B Closing commentsMini cases: NHTBeds, Firmecon, Mr and Mrs LeanPart C: Modelling and Analysing Decisions Ch14 An introduction to decision analysis 14.1 Decisions under certainty, uncertainty and risk14.2 Decisions under uncertainty14.3 Decisions under risk 14.4 Chapter reviewCh15 Decisions in finance15.1 Discounted Cash Flow and Net Present Value15.2 Internal Rate of Return15.3 Payback Period 15.4 Chapter reviewCh 16 An Introduction to Mathematical Programming16.1 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 programming16.5 Chapter reviewPart C: Closing CommentsMini cases: Makit Ltd, Pandbe Co., PrintRusFurther ReadingTablesIndex
