Name: Quantitative Methods for Decision Makers von Mik Wisniewski
SKU: 9780273770688
Price: 18.00 CHF
Availability: OutOfStock

Quantitative Methods for Decision Makers Zusammenfassung

Quantitative Methods for Decision Makers Mik Wisniewski

Were you looking for the book with access to MyMathLab Global? This product is the book alone and does NOT come with access to MyMathLab Global. Buy Quantitative Methods for Decision Makers, 6th edition with MyMathLab Global access card (ISBN 9780273770763) if you need access to MyMathLab Global as well, and save money on this resource. You will also need a course ID from your instructor to access MyMathLab Global. Appealing both to students on introductory courses for quantitative methods and MBA students, this well-respected text provides an accessible introduction to an area that students often find difficult. As a manager, developing a good understanding of the business analysis techniques at your disposal is crucial. Knowing how and when to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Quantitative Methods for Decision Makers helps students to understand the relevance of quantitative methods of analysis to manager's decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focusing on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: Student Activities with a solutions Appendix Fully worked examples and exercises supported by Excel data sets QMDM in Action case studies illustrating how real-life organisations benefit from the use of quantitative techniques Chapter on financial decision-making Wisniewski makes numerical and statistical concepts understandable and brings them to life using excellent scenarios and case studies. This book was a valuable resource during my MBA studies and I am encouraging all my non-statistical colleagues and anyone who works with statistics or performance measurement data to read this book! Brian J Pickett, Assistant Director, Local Government Data Unit, Wales Mik Wisniewski is Senior Research Fellow at Strathclyde Business School in Scotland. He also works as a freelance management consultant with clients including PriceWaterhouseCoopers, ScottishPower and Shell, and a variety of public sector organisations in the UK and internationally.

Inhaltsverzeichnis

Contents List of 'QMDM in Action' case studies Preface Acknowledgements 1 Introduction The Use of Quantitative Techniques by Business The Role of Quantitative Techniques in Business Models in Quantitative Decision Making Use of Computers Using the Text Summary 2 Tools of the Trade Learning objectives Some Basic Terminology Fractions, Proportions, Percentages Rounding and Significant Figures Common Notation Powers and Roots Logarithms Summation and Factorials Equations and Mathematical Models Graphs Real and Money Terms Worked Example Summary Exercises 3 Presenting Management Information Learning objectives A Business Example Bar Charts Pie Charts Frequency Distributions Percentage and Cumulative Frequencies Histograms Frequency Polygons Ogives Lorenz Curves Time-Series Graphs Z Charts Scatter Diagrams General Principles of Graphical Presentation Worked Example Summary Exercises 4 Management Statistics Learning objectives A Business Example Why Are Statistics Needed? Measures of Average Measures of Variability Using the Statistics Calculating Statistics for Aggregated Data Index Numbers Worked Example Summary Exercises 5 Probability and Probability Distributions Learning objectives Terminology The Multiplication Rule The Addition Rule A Business Application Probability Distributions The Binomial Distribution The Normal Distribution Worked Example Summary Exercises 6 Decision Making Under Uncertainty Learning objectives The Decision Problem The Maximax Criterion The Maximin Criterion The Minimax Regret Criterion Decision Making Using Probability Information Risk Decision Trees The Value of Perfect Information Worked Example Summary Exercises 7 Market Research and Statistical Inference Learning objectives Populations and Samples Sampling Distributions The Central Limit Theorem Characteristics of the Sampling Distribution Confidence Intervals Other Confidence Intervals Confidence Intervals for Proportions Interpreting Confidence Intervals Hypothesis Tests Tests on a Sample Mean Tests on the Difference Between Two Means Tests on Two Proportions or Percentages Tests on Small Samples Inferential Statistics Using a Computer Package p Values in Hypothesis Tests x2 Tests Worked Example Summary Exercises 8 Quality Control and Quality Management Learning objectives The Importance of Quality Techniques in Quality Management Statistical Process Control Control Charts Control Charts for Attribute Variables Pareto Charts Ishikawa Diagrams Six Sigma Worked Example Summary Exercises 9 Forecasting I: Moving Averages and Time Series Learning objectives The Need for Forecasting Approaches to Forecasting Trend Projections Time-Series Models Worked Example Summary Exercises 10 Forecasting II: Regression Learning objectives The Principles of Simple Linear Regression The Correlation Coefficient The Line of Best Fit

Zusätzliche Informationen

Sku

GOR007621418

ISBN 13

9780273770688

ISBN 10

0273770683

Titel

Quantitative Methods for Decision Makers Mik Wisniewski

Autor

Mik Wisniewski

Zustand

Gebraucht - Sehr Gut

Bindung

Broschiert

Verlag

Pearson Education Limited

Datum

20160323

Anzahl der Seiten

600

Preise

N/A

Begleitschreiben

Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.

Hinweis

Dies ist ein gebrauchtes Buch. Es wurde schon einmal gelesen und weist von der früheren Nutzung Gebrauchsspuren auf. Wir gehen davon aus, dass es im Großen und Ganzen in einem sehr guten Zustand ist. Sollten Sie jedoch nicht vollständig zufrieden sein, setzen Sie sich bitte mit uns in Verbindung.