Quantitative Methods for Business : The A-Z of QM,9780750658980

Quantitative Methods for Business : The A-Z of QM

by
ISBN13: 9780750658980
ISBN10: 0750658983
Format: Nonspecific Binding
Pub. Date: 2004-12-13
Publisher(s): BUTTERWORTH-HEINEMANN
List Price: $70.95

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Summary

Quantitative Methods for Business: The A-Z of QM will enable readers to: *Appreciate the significance of quantitative methods for businesses and the study of business *Understand and apply a wide range of quantitative techniques *Select appropriate quantitative techniques for data analysis, problem solving and decision making *Interpret and communicate the results of quantitative analysis * The writing style of the text is clear and easy-to-read and follow * Each chapter includes guidance on using Excel, Minitab and SPSS to produce the analysis described and provides worked examples and review questions. * Model solutions are provided throughout with further solutions available on a website to accompany the book.

Table of Contents

Preface xi
Acknowledgements xiii
Setting off
1(31)
Quantitative methods, numbers and business
1(2)
Using this book
3(2)
Key arithmetical procedures
5(18)
Using the technology: calculators, EXCEL, MINITAB and SPSS
23(9)
Review questions
26(6)
Getting linear models straight
32(49)
Linear equations
33(8)
Simultaneous equations
41(5)
Break-even analysis
46(4)
Inequalities
50(7)
Linear programming
57(11)
Using the technology: Solver in EXCEL
68(4)
Road test: Do they really use linear programming?
72(9)
Review questions
74(7)
Dealing with curves without going round the bend
81(27)
Simple forms of non-linear equations
82(5)
Basic differential calculus
87(5)
The Economic Order Quantity model
92(7)
Road test: Do they really use the Economic Order Quantity model?
99(9)
Review questions
102(6)
Filling up -- fuelling quantitative analysis
108(27)
Some key words you need to know
109(2)
Sources of data
111(1)
Types of data
111(5)
Arrangement of data
116(7)
Using the technology: arranging data in EXCEL, MINITAB and SPSS
123(12)
Review questions
128(7)
Good visibility -- pictorial presentation of data
135(42)
Displaying qualitative data
136(7)
Displaying quantitative data
143(14)
Presenting bivariate quantitative data
157(3)
Presenting time series data
160(2)
Using the technology: presenting data in EXCEL, MINITAB and SPSS
162(7)
Road test: Do they really use pictorial presentation?
169(8)
Review questions
170(7)
General directions -- summarizing data
177(46)
Measures of location
178(16)
Measures of spread
194(17)
Using the technology: summarizing data in EXCEL, MINITAB and SPSS
211(2)
Road test: Do they really use summary measures?
213(10)
Review questions
215(8)
Two-way traffic -- summarizing and representing relationships between two variables
223(32)
Correlation analysis
224(13)
Simple linear regression analysis
237(7)
Using the technology: correlation and regression in EXCEL, MINITAB and SPSS
244(3)
Road test: Do they really use correlation and regression?
247(8)
Review questions
248(7)
Counting the cost -- summarizing money variables over time
255(30)
Index numbers
256(5)
Investment appraisal
261(12)
Using the technology: investment appraisal in EXCEL
273(1)
Road test: Do they really use investment appraisal?
274(11)
Review questions
275(10)
Long distance -- analysing time series data
285(31)
Components of time series
286(2)
Classical decomposition of time series data
288(15)
Exponential smoothing of time series data
303(3)
Using the technology: time series analysis in MINITAB and SPSS
306(3)
Road test: Do they really use forecasting?
309(7)
Review questions
310(6)
Is it worth the risk? -- introducing probability
316(31)
Measuring probability
318(3)
The types of probability
321(3)
The rules of probability
324(12)
Tree diagrams
336(3)
Road test: Do they really use probability?
339(8)
Review questions
339(8)
Finding the right way -- analysing decisions
347(27)
Expectation
347(2)
Decision rules
349(4)
Decision trees
353(10)
Road test: Do they really use decision analysis?
363(11)
Review questions
365(9)
Accidents and incidence -- discrete probability distributions and simulation
374(31)
Simple probability distributions
375(6)
The binomial distribution
381(5)
The Poisson distribution
386(3)
Simulating business processes
389(4)
Using the technology: discrete probability distributions and random number generation in EXCEL, discrete probability distributions in MINITAB and SPSS
393(4)
Road test: Do they really use discrete probability distributions and simulation?
397(8)
Review questions
398(7)
Smooth running -- continuous probability distributions and basic queuing theory
405(30)
The normal distribution
406(3)
The Standard Normal Distribution
409(12)
The exponential distribution
421(2)
A simple queuing model
423(2)
Using the technology: continuous probability distributions using EXCEL, MINITAB and SPSS
425(2)
Road test: Do they really use the normal distribution?
427(8)
Review questions
428(7)
Getting from A to B -- project planning using networks
435(31)
Network analysis
436(5)
Critical path analysis
441(5)
The Program Evaluation and Review Technique (PERT)
446(5)
Cost analysis: crashing the project duration
451(2)
Road test: Do they really use critical path analysis and PERT?
453(13)
Review questions
454(12)
Taking short cuts -- sampling methods
466(16)
Bias in sampling
467(3)
Probabilistic sampling methods
470(5)
Other sampling methods
475(3)
Using the technology: random sample selection in MINITAB and SPSS
478(2)
Road test: Do they really use sampling?
480(2)
Test driving -- sampling theory, estimation and hypothesis testing
482(57)
Sampling distributions
483(9)
Statistical inference: estimation
492(15)
Statistical inference: hypothesis testing
507(16)
Using the technology: the t distribution, estimation and hypothesis testing in Excel, Minitab and Spss
523(5)
Road test: Do they really use small sample inference?: the business origins of the t distribution
528(11)
Review questions
529(10)
High performance -- statistical inference for comparing population means and bivariate data
539(58)
Testing hypotheses about two population means
540(6)
Testing hypotheses about more than two population means -- one-way ANOVA
546(8)
Testing hypotheses and producing interval estimates for quantitative bivariate data
554(15)
Contingency analysis
569(7)
Using the technology: testing differences between population means and inference with bivariate data in EXCEL, MINITAB and SPSS
576(10)
Road test: Do they really use contingency analysis?
586(11)
Review questions
588(9)
Going off-road -- managing quantitative research for projects and dissertations
597(19)
Using secondary data
599(2)
Collecting primary data
601(10)
Presenting your analysis
611(5)
Appendix 1 Statistical and accounting tables
616(10)
Table 1 Present values
617(1)
Table 2 Binomial probabilities and cumulative binomial probabilities
618(1)
Table 3 Poisson probabilities and cumulative Poisson probabilities
619(1)
Table 4 Random numbers
620(1)
Table 5 Cumulative probabilities for the Standard Normal Distribution
621(2)
Table 6 Selected points of the t distribution
623(1)
Table 7 Selected points of the F distribution
624(1)
Table 8 Selected points of the chi-square distribution
625(1)
Appendix 2 Answers and selected worked solutions to review questions
626(47)
References 673(6)
Index 679

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