The Resource Quantitative methods for business, management & finance, Louise Swift and Sally Piff

Quantitative methods for business, management & finance, Louise Swift and Sally Piff

Quantitative methods for business, management & finance
Quantitative methods for business, management & finance
Statement of responsibility
Louise Swift and Sally Piff
Title variation
Quantitative methods for business, management and finance
This is a comprehensive guide to the techniques any student of business or finance is likely to need. The authors' coaching, learning-by-doing approach coupled with the text's clear structural outline makes this title ideal for those less confident with maths. With this text, the acquisition of essential mathematical skills is achievable and even enjoyable
Cataloging source
Dewey number
index present
LC call number
Literary form
non fiction
Nature of contents
Quantitative methods for business, management & finance, Louise Swift and Sally Piff
Previous edition: 2010
Bibliography note
Includes bibliographical references and index
  • zbnus
  • glg
Carrier category
Carrier category code
Carrier MARC source
Content category
  • still image
  • still image
Content type code
  • sti
  • sti
Content type MARC source
  • rdacontent
  • rdacontent
  • Machine generated contents note: ESSENTIAL MATHS -- 1.Numbers and symbols -- 1.Positive and negative numbers: adding and subtracting -- 2.Positive and negative numbers: multiplying and dividing -- 3.Combining addition, subtraction, multiplication and division -- 4.Using a calculator -- 5.Introducing letters and symbols -- 6.Working with symbols: adding, subtracting, multiplying, dividing -- 2.Simplifying expressions -- 1.Equivalent fractions and cancelling -- 2.Adding and subtracting fractions -- 3.Multiplying and dividing fractions -- 4.Putting it all together - and a note on percentages -- 5.Expanding brackets -- 6.Factorising -- 7.Powers -- 8.Powers of products and quotients -- 9.Fractional powers -- 3.Solving problems -- 1.How equations arise -- 2.Solutions to equations: recognising and guessing -- 3.A method for solving equations -- 4.Formulating and solving equations -- 5.Rearranging equations and substituting -- 6.Inequalities -- 4.Modelling using straight lines --
  • Contents note continued: 1.Introducing straight lines -- 2.Interpretation of a and b -- 3.Linear equations for modelling -- 4.Pairs of linear equations -- MORE MATHS -- 1.Some special equations -- 1.Introducing logs -- 2.Solving equations when the unknown is a power -- 3.Quadratic equations -- 4.The expert equation solver -- 2.Modelling using curves -- 1.Functions -- 2.Quadratic curves -- 3.Some common functions -- 4.Variations on standard curves -- 5.When do these curves arise? -- 6.Curve sketching in general -- 3.Rates of change -- 1.The gradient of a curve -- 2.More differentiation -- 3.Interpreting derivatives -- 4.Maximising and minimising -- DESCRIBING DATA -- 1.Pictures of data -- 1.Frequencies and histograms -- 2.Stem and leaf diagrams -- 3.Pictures of one categorical variable: bar charts and pie charts -- 4.More graphs for numerical data -- 5.Categorical data that come in pairs -- 6.Lies, more lies and statistics? -- 2.Summarising data -- 1.The centre of a set of data --
  • Contents note continued: 2.The spread of a set of data -- 3.v and a short-cut for variance -- 4.Quartiles -- 5.Technology to the rescue! -- 6.Constructing indices -- 7.Box plots -- 8.Describing data: your toolkit -- PROBABILITY -- 1.Measuring uncertainty -- 1.Introduction to probability -- 2.Combining events: AND and OR -- 3.Conditional probability -- 4.Calculating joint or AND probabilities -- 5.More complicated probabilities - made simple -- 2.Numerical outcomes -- 1.Introducing random variables -- 2.Expectation: the long-run average -- 3.The variance of a random variable -- 3.Continuous numerical outcomes -- 1.Probability density functions (pdfs) -- 2.Introducingthe normal distribution -- 3.Calculating normal probabilities -- 4.Some more probability distributions -- 1.The binomial distribution -- 2.The Poisson distribution -- 3.The exponential distribution -- A summary of the main probability formulae -- STATISTICS -- 1.Estimation -- 1.Samples --
  • Contents note continued: 2.Estimating from a sample -- 3.How good is an estimator? -- 4.Interval estimates -- 5.Confidence intervals in practice -- 2.Testing hypotheses -- 1.Introduction to testing -- 2.The structure of a test -- 3.Testing the population mean -- 3.Correlation and regression -- 1.Data that come in pairs -- 2.Fitting a straight line to the data -- 3.The linear regression model -- 4.Extending the linear regression model: the multiple linear regression model -- 4.Comparing two populations -- 1.The difference between two means -- 2.The difference between two means paired samples -- 5.Nonparametric methods -- 1.The binomial test -- 2.Comparing two populations: paired samples -- 3.Comparing two populations: independent samples -- 4.Spearman's rank correlation coefficient -- 6.Categorical data -- 1.Proportions -- 2.Any number of categories -- 3.Contingency tables -- 7.Forecasting -- 1.Displaying time series -- 2.Introduction to forecasting --
  • Contents note continued: 3.Coping with trend and seasonal effects -- 4.Forecasting series with a trend and seasonal effect -- 8.Statistics in practice -- Statistics formulae -- BUSINESS MODELLING -- 1.Linear programming models -- 1.A small linear programming problem -- 2.More complicated linear programming models
Control code
28 cm
Fourth edition
xxii, 704 pages
Media category
Media MARC source
Media type code
Other physical details
System control number
  • (OCoLC)869793523
  • md33542880

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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