Quantitative methods : for business, management & finance / Louise Swift, Sally Piff.
Material type:
TextPublication details: Basingstoke : Palgrave Macmillan, 2014.Edition: Fourth editionDescription: xxii, 704 pages : illustrations ; 28 cmISBN: - 9781137376558 (paperback)
- 1137376554 (paperback)
- 519.5 SWI
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| Standard Loan | Clonmel Library Main Collection | 519.5 SWI (Browse shelf(Opens below)) | 1 | Available | 30026000070689 | ||
| Standard Loan | Moylish Library Main Collection | 519.5 SWI (Browse shelf(Opens below)) | 1 | Available | 39002100517862 | ||
| Standard Loan | Thurles Library Main Collection | 519.5 SWI (Browse shelf(Opens below)) | 1 | Available | 39002100664003 |
Enhanced descriptions from Syndetics:
The new edition of this highly successful and popular textbook is a comprehensive, easy-to-follow guide to using and interpreting all the quantitative techniques that students will encounter in their later business and financial careers; from fundamental principles through to more advanced applications. Topics are explained in a clear, friendly step-by-step style, accompanied by examples, exercises and activities, making the text ideal for self-tuition or for the student with no experience or confidence in working with numbers. This highly successful learning-by-doing approach, coupled with the book's clear structure, will enable even the most maths-phobic student to understand these essential mathematical skills. Comprehensive in both its scope of coverage and the range of abilities it caters for, this remains a core textbook for undergraduate students of business, management and finance, for whom Quantitative Methods modules will be a key component. It will also appeal to those on related MBA and postgraduate courses.New to this Edition:- Business Modelling 'Moving on...' feature with integrated web and book activities to promote student engagement with the application of mathematical techniques in real-life workplaces- Extensive revamp of two Statistics chapters based on student and lecturer feedback- Crucial updated practical guides to using Excel and SPSS- Integrated companion website resources helps relate theory to real world examplesAccompanying online resources for this title can be found at bloomsburyonlineresources.com/quantitative-methods-4e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
Quantitative Methods is a comprehensive guide to the techniques any student of business or finance is likely to need. The authors\' highly successful learning-by-doing approach, coupled with the clear structure of the text, make the acquisition of essential mathematical skills achievable and even enjoyable.
Previous edition: 2010.
Includes bibliographical references and index.
Table of contents provided by Syndetics
- Part I Essential Maths
- 1 Numbers and Symbols
- 2 Simplifying Expressions
- 3 Solving Problems
- 4 Modelling Using Straight Lines
- Part II More Maths
- 5 Some Special Equations
- 6 Modelling Using Curves
- 7 Rates of Change
- Part III Describing Data
- 8 Pictures of Data
- 9 Summarising Data
- Part IV Probability
- 10 Measuring Uncertainty
- 11 Numerical Outcomes
- 12 Continuous Numerical Outcomes
- 13 Some More Probability Distributions
- Part V Statistics
- 14 Estimation
- 15 Testing Hypotheses
- 16 Correlation and Regression
- 17 Comparing Two Populations
- 18 Nonparametric methods
- 19 Categorical Data
- 20 Forecasting
- 21 Statistics in Practice
- Part VI Business Modelling
- 22 Linear Programming Models
- 23 Planning Projects
- 24 Models for Inventory Control
- 25 Time and Money
- 26 Decision Making
- 27 Simulating Reality
- 28 Controlling Quality
- Part VII Statistical Tables
- 29 Cumulative Binomial Probabilities
- 30 Cumulative Standard Normal Probabilities
- 31 Percentage Points of the Standard Normal Distribution
- 32 Random Digits
- 33 Percentage Points of the t Distribution
- 34 Percentage Points of the x2 Distribution