Stats means business
著者
書誌事項
Stats means business
Routledge, 2012, c2010
2nd ed
- タイトル別名
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Stats means business : statistics with Excel for business, hospitality and tourism
並立書誌 全1件
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Stats means business / John Buglear
BB0410908X
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Stats means business / John Buglear
大学図書館所蔵 件 / 全2件
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該当する所蔵館はありません
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注記
"First published by Elsevier"--T.p. verso
Includes bibliographical references (p. 343) and index
内容説明・目次
内容説明
Stats Means Business is an introductory textbook written for Business, Hospitality and Tourism students who take modules on Statistics or Quantitative research methods.
Recognizing that most users of this book will have limited if any grounding in the subject, this book minimizes technical language, provides clear definition of key terms, and gives emphasis to interpretation rather than technique. Stats Means Business enables readers to:
appreciate the importance of statistical analysis in business, hospitality and tourism
understand statistical techniques and develop judgement in the selection of appropriate statistical techniques
interpret the results of statistical analysis.
This new edition includes extra content related to Hospitality and Tourism courses, an extension of the interpretation of correlation analysis and a new section on how to design questionnaires.
an introductory text and an accessible approach to a difficult subject, Stats Means Business assumes no prior knowledge of statistics and therefore won't intimidate students
techniques are explained and demonstrated using worked examples and real life applications of theory. Guidance is also given on using EXCEL, Minitab and SPSS
a companion website for lecturers and students which includes PowerPoint slides, lesson plans, Minitab and SPSS recipe cards and review questions and solutions to aid teaching and learning .
目次
1. Starting Up 2. Presenting Data 3. Summarizing Univariate Data 4. Summarizing Bivariate Data 5. Assessing Risk 6. Putting Probability to Work 7. Modelling Populations 8. Statistical Decision Making 9. Statistical Decision Making Using Bivariate Data 10. Managing Statistical Research
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