for Decision Makers
By Mik Wisniewski
Financial Times / Pearson Education Limited
616 Pages, Illustrated
$115.00 paper original
Appealing both to students on introductory courses for quantitative methods
and MBA and post-experience students, this respected text provides an accessible,
practical introduction to an area that students often find difficult. Concentrating
on helping students to understand the relevance of quantitative methods of analysis
to managers' decision-making, it focuses on the development of appropriate skills
and understanding of how the techniques fit into the wider management process.
2. Tools of the trade
3. Presenting management information
4. Management statistics
5. Probability and probability distributions
6. Decision making under uncertainty
7. Market research and statistical inference
8. Quality control and quality management
9. Forecasting 1: Moving averages and time series
10. Forecasting 2: Regression
11. Linear programming
12. Stock control
13. Project management
15. Financial decision-making
A. Binomial distribution
B. Areas in the tail of the Normal distribution
C. Areas in the tail of the t distribution
D. Areas in the tail of the x2 distribution
E. Areas in the tail of the
F. Solutions to chapter activities
" Student-friendly, non-theoretical approach that requires only a limited level
of ability in maths.
" Uses real-life case studies (from a diverse range of companies including ICI
and the NHS), which bring the techniques introduced in the text to life.
" Focuses on both private and public sector management.
" The material is made easy to understand and assimilate through the use of
fully worked examples at the end of each chapter, which illustrate in detail
how the techniques explained in the chapter can contribute to management decision
" Real-life material from Financial Times or Cap Gemini included in every chapter.
Additional Support Material
" Instructor's manual with solutions to the exercises in the text.
" Companion website where students can download additional exercises and lecturer's
can obtain password protected resources.
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