Description
Stats Means Business (3rd Ed.)
Statistics and Business Analytics for Business, Hospitality and Tourism
Author: Buglear John
Language: EnglishSubjects for Stats Means Business:
Keywords
UK Government Source; grouped; Grouped Frequency Distribution; frequency; Leaf Display; distribution; Bivariate Data; command; Leaf Digit; window; Data Set; decimal; Stem Digit; places; Cumulative Frequency Graph; leaf; Sampling Distribution; display; Stem Line; bivariate; UK Resident; Population Standard Deviation; Cumulative Relative Frequency; Null Hypothesis; Tail Area; Scatter Diagram; Discrete Random Variables; Confidence Interval; Expected Frequencies; Paasche Price Index; Small Independent Samples; SIQR; Compound Probability; Recurrent Components; Prospective Homebuyer
Publication date: 05-2019
· 18.9x24.6 cm · Paperback
Publication date: 05-2019
· 18.9x24.6 cm · Hardback
Description
/li>Contents
/li>Readership
/li>Biography
/li>
Stats Means Business is an introductory and comprehensive textbook written especially for Hospitality, Business and Tourism students who take statistics or quantitative methods modules. By minimising technical language, providing clear definitions of key terms and giving emphasis to interpretation rather than technique, this book caters to beginners in the subject.
This book enables readers to appreciate the importance of statistical analysis in hospitality, tourism and other fields of business, understand statistical techniques, develop judgement in the selection of appropriate statistical techniques and interpret the results of statistical analysis.
This new edition has been fully revised and updated to include:
- New content on business analytics
- Case studies demonstrating practical applications
- An extensive selection of new self-test questions
Stats Means Business is an ideal, accessible and practical introduction to statistics and quantitative research methods for Hospitality, Business and Tourism students.
Visit the companion website at www.routledge.com/cw/buglear for bonus teaching and learning resources.
1: Numbers in business: the basics
2: Presenting data
3: Summarising values of a single variable
4: Summarising bivariate data
5: Assessing risk
6: Putting probability to work
7: Modelling populations
8: Statistical decision-making
9: Statistical decision-making with bivariate data
10: Introducing business analytics
11: Managing statistical research
Appendix 1
Appendix 2
John Buglear and Adrian Castell work at Nottingham Business School, Nottingham Trent University, where John teaches Statistics and Adrian teaches Business Analytics.