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Essential quantitative methods : for business, management and finance

Author: Les Oakshott
Publisher: London : Palgrave Macmillan Education, 2016.
Edition/Format:   Print book : English : Sixth editionView all editions and formats
Summary:
“A concise, accessible, comprehensive introduction to quantitative techniques emphasizing business relevance and discussing the challenges of problem-solving in the real world. Written for a diverse range of abilities, coverage includes chapters on revision mathematics, investment appraisal, decision-making and simulation. Excel and SPSS are integrated throughout.”--Publisher's description.
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Document Type: Book
All Authors / Contributors: Les Oakshott
ISBN: 9781137518552 1137518553
OCLC Number: 948650957
Description: xxxi, 440 pages : illustrations (some color) ; 25 cm
Contents: Machine generated contents note: 1. Revision mathematics --
Introduction --
Number and number operations --
Decimals, fractions and percentages --
Powers and roots --
Elementary algebra --
Indices and logs --
Mathematical symbols --
Graphs and straight lines --
Solving linear equations graphically --
Solving linear equations simultaneously --
Inequations --
Further reading --
2. Keeping up with change: index numbers --
Introduction --
Quantitative methods in action: Is the demand for oil increasing? --
Simple indices --
Weighted aggregate indices --
Consumer price indices --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
3. Collecting data: surveys and samples --
Introduction --
Quantitative methods in action: The Scottish referendum 2014 --
basics of sampling --
Questionnaire design --
Simple random sampling --
Stratified sampling --
Multi-stage sampling --
Cluster sampling --
Systematic sampling --
Quota sampling --
Other sampling methods --
Obtaining research data from on-line sources --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
4. Finding patterns in data: charts and tables --
Introduction --
Quantitative methods in action: The growth of China's economy --
Data classification --
Tabulation of data --
Diagrammatic representation of data --
Creating charts with Excel 2013 --
Creating charts with IBM SPSS statistics --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
5. Making sense of data: averages and measures of spread --
Introduction --
Quantitative methods in action: How wealthy are you? --
Measures of location --
Measures of spread --
Coefficient of variation --
Box and whisker plots --
Using Excel to calculate summary statistics --
Using SPSS to calculate summary statistics --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
6. Taking a chance: probability --
Introduction --
Quantitative methods in action: Use of statistics in criminal cases --
Basic ideas --
probability of compound events --
Conditional probability --
Permutations and combinations --
Expected value --
Reflection --
Further reading --
Practice questions --
Assignment --
7. shape of data: probability distributions --
Introduction --
Quantitative methods in action: Is goal scoring a random event? --
Discrete and continuous probability distributions --
binomial distribution --
Poisson distribution --
normal distribution --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
8. Interpreting with confidence: analysis of sample data --
Introduction --
Quantitative methods in action: Using statistics to identify benefit fraud --
Samples and sampling --
Point estimates --
Sampling distribution of the mean --
Confidence intervals for a population mean for large samples --
Confidence intervals for a population mean for small samples --
Confidence interval of a percentage --
Calculation of sample size --
Finite populations --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
9. Checking ideas: testing a hypothesis --
Introduction --
Quantitative methods in action: Are waiting times at A&E getting worse? --
purpose of hypothesis testing --
Large sample test for a population mean --
Small sample test for a population mean --
Z-test for a population percentage --
Hypothesis tests involving two population means --
Hypothesis tests involving two population percentages --
chi-square hypothesis test --
SPSS and the chi-square test --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
10. Cause and effect: correlation and regression --
Introduction --
Quantitative methods in action: Predicting time that aircraft take to taxi to the terminal building or runway --
Scatter diagrams --
Correlation --
Linear regression --
Coefficient of determination --
Using Excel to analyse bivariate data --
SPSS and scatter diagrams --
SPSS and linear regression --
Further topics in regression --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
11. How to make good decisions --
Introduction --
Quantitative methods in action: Highway improvement project selection in Louisiana, USA --
Problem formulation --
Payoff tables --
Decision trees --
Utility --
Multi-criteria decision-making (MCDA) --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
12. Choosing wisely: investment appraisal --
Introduction --
Quantitative methods in action: EU banks stress test --
Measures of investment worth --
Traditional methods for comparing projects --
Discounted cash flow techniques --
Other applications of the compound interest formula --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
13. Forecasting: time series analysis --
Introduction --
Quantitative methods in action: The Ebola epidemic --
decomposition model --
Isolating the trend --
Isolating the seasonal component --
Analysis of errors --
Seasonally adjusted series --
Forecasting using the decomposition model --
Exponential smoothing --
Using spreadsheets in time series analysis --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
14. Making the most of things: linear programming --
Introduction --
Quantitative methods in action: Optimizing the maintenance and repair of salmon farming nets in Chile --
Basics of linear programming --
Model formulation --
Graphical solution of linear programming problems --
Tight and slack constraints --
Sensitivity analysis --
Minimization problems --
Using Excel's 'Solver' to solve linear programming problems --
Applications of linear programming --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
15. Planning large projects: network analysis --
Introduction --
Quantitative methods in action: London's Crossrail project --
activity-on-node method --
float of an activity --
Resource scheduling --
Cost scheduling --
Handling uncertainty in time estimates (the PERT method) --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment --
16. Managing stock levels: materials management and inventory control --
Introduction --
Quantitative methods in action: Reloadable stored-value cards on Beijing subway system --
Costs of holding stock --
Economic Order Quantity (EOQ) model --
Discounts --
Uncertainty in demand --
Reflection --
Key points --
Further reading --
Practice questions --
Assignment.
Responsibility: Les Oakshott.

Abstract:

This concise and accessible textbook covers all of the key quantitative methods needed to solve everyday business problems. An ideal textbook for undergraduate students of business, management and  Read more...

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"Students will love the succinct presentation and easy-to-follow formulae deductions, all made rleveant through current economic examples. The historical fun facts are engaging; they add to the ease Read more...

 
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