Product details:

ISBN13:9783031463709
ISBN10:3031463706
Binding:Hardback
No. of pages:418 pages
Size:235x155 mm
Language:English
Illustrations: Approx. 420 p.
0
Category:

Applied Statistics for Business and Management using Microsoft Excel

 
Edition number: 2nd ed. 2023
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
Normal price:

Publisher's listprice:
EUR 117.69
Estimated price in HUF:
48 564 HUF (46 252 HUF + 5% VAT)
Why estimated?
 
Your price:

44 679 (42 552 HUF + 5% VAT )
discount is: 8% (approx 3 885 HUF off)
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
 
Availability:

Not yet published.
 
  Piece(s)

 
Short description:

This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn?t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past.

The 2nd edition of Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.

Linda Herkenhoff is currently a full professor and director of the Transglobal MBA program at Saint Mary?s College in Moraga, California, where she teaches Quantitative Analysis and Statistics. She is the former Executive Director of Human Resources for Stanford University. The first sixteen years of her career included various responsibilities within Chevron Corporation, primarily as a geophysicist. She has lived/worked/conducted research in over 30 countries and has spent time on all 7 continents.

John Fogli is currently a part-time faculty member with the Department of Business at Diablo Valley College and is the Marketing Program Lead. He was the former Founder and President of Sentenium, Inc. This company was sold to Research America, Inc. John's business research methods have helped public and private industries better understand the involvement necessary to lead consensus solutions. He has facilitated over 500 survey projects in the areas of consumer, employee, political, and operation(s) research. He is a member of the Market Research Association and holds a Professional Research Certificate.

Long description:

This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn?t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past.

The 2nd edition of Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explainsstatistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.

Table of Contents:

.- Statistics and Data.

.- Summarizing Data.

.- Descriptive Statistics and Graphing.

.- Normal World.

.- Survey Design.

.- Sampling.

.- Inference.

.- Probability.

.- Correlation.

.- Simple Linear Regression.

.- Multiple Regression.

.- Significance Tests.

.- Non Linear Regression.

.- Survey Reports.