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9781403935281

Quantitative Methods for Business, Management and Finance: Second Edition

by ;
  • ISBN13:

    9781403935281

  • ISBN10:

    1403935289

  • Edition: 2nd
  • Format: Paperback
  • Copyright: 2005-10-07
  • Publisher: Palgrave Macmillan
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Summary

A comprehensive, student-focused textbook designed primarily for undergraduate business students taking an introductory course on quantitative methods. Starting with no assumptions about students' knowledge, the authors use numerous examples, checkpoints and assessments to encourage "learning by doing" and provide support for students of all abilities. This edition includes a new chapter on decision-making, incorporates the use of SPSS in addition to Excel, and offers an expanded set of companion web resources for students and lecturers. Companion Website: http://www.palgrave.com/business/swift/home.htm

Author Biography

Louise Swift is a Medical Statistician in the Department of Health Policy and Practice, University of East Anglia.

Sally Piff is a Tutor in the School of Management, University of East Anglia.

Table of Contents

Preface to the second edition ix
To the student ... please read this first xi
Choosing books for further work xv
Acknowledgements xix
Essential Maths
Numbers and symbols
2(31)
Positive and negative numbers: adding and subtracting
4(2)
Positive and negative numbers: multiplying and dividing
6(4)
Combining addition, subtraction, multiplication and division
10(4)
Using a calculator
14(6)
Introducing letters and symbols
20(7)
Working with symbols: adding, subtracting, multiplying, dividing
27(6)
Simplifying expressions
33(60)
Equivalent fractions and cancelling
34(6)
Adding and subtracting fractions
40(6)
Multiplying and dividing fractions
46(8)
Putting it all together - and a note on percentages
54(3)
Expanding brackets
57(7)
Factorising
64(6)
Powers
70(10)
Powers of products and quotients
80(5)
Fractional powers
85(8)
Solving problems
93(40)
How equations arise
94(3)
Solutions to equations: recognising and guessing
97(4)
A method for solving equations
101(7)
Formulating and solving equations
108(3)
Rearranging equations and substituting
111(12)
Inequalities
123(10)
Modelling using straight lines
133(27)
Introducing straight lines
134(6)
Interpretation of a and b
140(6)
Linear equations for modelling
146(4)
Pairs of linear equations
150(10)
More Maths
Some special equations
160(28)
Introducing logs
161(7)
Solving equations when the unknown is a power
168(6)
Quadratic equations
174(7)
The expert equation solver
181(7)
Modelling using curves
188(32)
Functions
189(3)
Quadratic curves
192(11)
Some common functions
203(5)
Variations on standard curves
208(4)
When do these curves arise?
212(5)
Curve sketching in general
217(3)
Rates of change
220(36)
The gradient of a curve
221(8)
More differentiation
229(5)
Interpreting derivatives
234(8)
Maximising and minimising
242(14)
Describing Data
Pictures of data
256(35)
Frequencies and histograms
257(10)
Stem and leaf diagrams
267(4)
Pictures of one categorical variable: bar charts and pie charts
271(6)
More graphs for numerical data
277(4)
Categorical data that come in pairs
281(5)
Lies, more lies and statistics?
286(5)
Summarising data
291(37)
The centre of a set of data
292(6)
The spread of a set of data
298(6)
Σ and a short-cut for variance
304(5)
Quartiles
309(2)
Technology to the rescue!
311(3)
Constructing indices
314(4)
Grouped data
318(6)
Describing data: your toolkit
324(4)
Probability
Measuring uncertainty
328(47)
Introduction to probability
329(15)
Combining events: AND and OR
344(8)
Conditional probability
352(8)
Calculating joint or AND probabilities
360(8)
More complicated probabilities -- made simple!
368(7)
Numerical outcomes
375(51)
Introducing random variables
376(8)
Expectation: the long run average
384(7)
The variance of a random variable
391(7)
The binomial distribution
398(17)
The Poisson distribution
415(11)
Continuous numerical outcomes
426(57)
Probability density functions (pdfs)
427(13)
The exponential distribution
440(9)
Introducing the normal distribution
449(11)
Calculating normal probabilities
460(11)
The normal approximation to the binomial distribution
471(12)
Statistics
Estimation
483(42)
Samples
484(6)
Estimating from a sample
490(6)
How good is an estimator?
496(9)
Interval estimates
505(11)
Beware, variance unknown!
516(9)
Testing hypotheses
525(38)
Introduction to testing
526(7)
The structure of a test
533(6)
Tests for the mean
539(16)
Rejection regions: another approach to testing
555(8)
Correlation and regression
563(48)
Data that come in pairs
564(10)
Fitting a straight line to the data
574(11)
The linear regression model
585(17)
Extending the linear regression model: the multiple linear regression model
602(9)
Forecasting
611(37)
Displaying time series
612(4)
Introduction to forecasting
616(11)
Coping with trend and seasonal effects
627(17)
Forecasting series with a trend and seasonal effect
644(4)
Comparing two populations
648(24)
The difference between two means
649(8)
Difference between two means: small samples
657(6)
Paired samples
663(9)
Categorical data
672(33)
Proportions
674(6)
More than two categories
680(9)
Contingency tables
689(10)
Statistics formulae
699(6)
Business Modelling
Linear programming models
705(20)
A small linear programming problem
707(8)
More complicated linear programming models
715(10)
Planning projects
725(17)
Drawing a project planning network
726(7)
Scheduling activities
733(9)
Models for inventory control
742(15)
An inventory model
743(6)
Making the model more realistic
749(8)
Time and money
757(32)
Calculating interest
758(9)
Present values
767(8)
Series of payments
775(14)
Decision making
789(31)
Introducing decision making
790(3)
Payoff tables
793(4)
Decision-making criteria
797(7)
Decision trees
804(16)
Controlling quality
820(19)
Control charts for the mean
821(9)
R-charts and p-charts
830(9)
Simulating reality
839(22)
Why simulate?
840(1)
A simple simulation
841(6)
Generating random inputs
847(6)
Simulating from other probability distributions
853(8)
Statistical tables 861(13)
Index 874

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