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Statistics in Business & Management: A Guide to Using Excel & IBM SPSS Statistics

Autor Glyn Davis, Branko Pecar
en Limba Engleză Paperback – 11 ian 2031
Grounded in real-world business research and with tailored examples throughout, this comprehensive guide shows the reader how to visualise and apply IBM SPSS and Microsoft Excel software across their work, helping the reader apply statistical methods to business management contexts and principles. The book includes:
  • Authentic case studies of real research
  • Step-by-step solutions
  • Questions to check your understanding
  • A range of digital resources to enhance learning, such as an online workbook, additional datasets and solutions, and additional questions and exercises.
These highly experienced authors have woven SPSS and Excel into each chapter with plenty of visual flags and pictorial directions to show the reader everything they need to know.
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Specificații

ISBN-13: 9781529701166
ISBN-10: 1529701163
Pagini: 480
Dimensiuni: 189 x 246 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom

Recenzii

This text is ideal for business and management students who are seeking a proficiency in statistics to prepare them for research and decision making in a business line-management role. The illustration of the various applications are accessible and understandable, as are the welcome illustrations in both Excel and SPSS, which can provide students with necessary skills and proficiencies as they move through their studies and into graduate level employment. There is an important balance of both theory and practical application provided within the textbook.

The most considerable appeal of Statistics in Business and Management is to offer students a unique opportunity to learn both basic statistics that are essential for business and management and some useful statistics tools such as Excel and SPSS. This book helps students to undertake statistical analysis as well as interpret the results. Another beauty of this textbook is that it is written using plain and simple language and it provides numerous examples to explain every topic. The chapters typically start with the explanation of the statistics concept and method, followed by applying it in Excel and then in SPSS.

This textbook is ideal for those students seeking a clear understanding of business statistics and their applications. The strength of this textbook is in the large number of worked examples with clearly explained solutions. Furthermore, the use Microsoft Excel and IBM SPSS Statistics software packages is employed within the solution process.

This book provides very useful and important information on methods of analysis that are extremely useful for my studies in social media marketing and their measurement. It offers insightful and very easy to understand explanations as to multiple methods of analysis that can be used during my studies. Very highly recommended.

As a student, one can often wonder how (or even if) a theory or concept is relevant to real-world situations. This is not the case with Glyn’s books, combining theory with relevant, illustrative examples, not just explaining the concept in question, but showing how they are implemented and used. From my own experience, this helps keep students interested and motivated as they know they are not just learning how to pass an assignment, but attaining skills and knowledge which employers crave in graduates.
 
Having worked for three very different organisations which heavily rely on Excel, I can personally testify to its importance to businesses of all sizes, from local SMEs to multinational organisations with tens of thousands of employees. Glyn’s books cleverly distil what can seem complex and daunting into easy to understand, illustrated chunks, without omitting any important details nor diluting any concepts.

This is a very useful book that is perfect for business and finance students who want to learn how to use statistical analysis in their work. The book is very accessible and there are numerous, easy to understand, workable examples, with a focus on Excel and SPSS. The book cover both theory and more practical issues related to statistical analysis and I would highly recommend this to my students.

Cuprins

Visualising and presenting data
Data descriptors: How do we summarise data?
Probability distributions
Sampling distributions
Point and interval estimates
An introduction to parametric hypothesis testing
Chi-square and non-parametric hypothesis testing
Linear correlation and regression analysis
Introduction to time series data, long-term forecasts and seasonality
Short and medium-term forecasts

Descriere

Grounded in real-world business research and with tailored examples throughout, this comprehensive guide shows the reader how to visualise and apply IBM SPSS and Microsoft Excel software across their work.