Business Statistics Using EXCEL and SPSS
- Nick Lee - Warwick Business School, UK
- Mike Peters - Aston University, UK
Quantitative Techniques for Business & Management Research
A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems.
Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive.
A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding
- Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples
- Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know
- Think it over get students to stop, engage and reflect upon the different connections between topics
An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
Supplements
- Answers to in-text exercises and think it over boxes in the book
- Workbooks
- Answer books
- Datasets (including figures & tables files)
- Videos
- Answers to in-text exercises and think it over boxes in the book
- Datasets
- Workbooks for self-study
I am using the book for the course datamining with SPSS, but it didn't cover allthings we need in this course.
Often, SPSS or Statisttica appear to be the exclusive applications to deal with large amounts of data. However, doing statistics with Excel is an alternative, at least for smaller sample sizes (below 9.000). Just, until now, related literature was missing and teaching methods on this level was just good enough for volunteers. The book offers an opportunity to hand it over to students when starting to work on their theses. Thanks to the author.
Good book, but too involved for the work required
An easy to read and interpretation of Statistics. Clear and concise. Some good tips and recommendation. Examples very simple to follow. Beginner level of stats.