Overview

'Stats to Go' is a user-friendly guide for hospitality, leisure and tourism students who need to learn statistics and statistical techniques.

'Stats to go' is an ideal companion to hospitality, leisure and tourism studies as the breadth of coverage supports all taught numerical aspects of these types of course. Examples from hospitality, leisure and tourism organizations:
* licensed premises
* fast food outlets
* hotels
* theme parks
and ...
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Stats To Go

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Overview

'Stats to Go' is a user-friendly guide for hospitality, leisure and tourism students who need to learn statistics and statistical techniques.

'Stats to go' is an ideal companion to hospitality, leisure and tourism studies as the breadth of coverage supports all taught numerical aspects of these types of course. Examples from hospitality, leisure and tourism organizations:
* licensed premises
* fast food outlets
* hotels
* theme parks
and their environments are used to illustrate key issues of the text.

The area of quantitative methods is one which many students find unapproachable or daunting. With the use of a clear learning structure, and a user friendly, non-theoretical approach, Buglear has created a text which students and lecturers alike will find indispensable.

Audience: Undergraduate and postgraduate students of hospitality and tourism degrees, HCIMA diploma level, HND students of Hotel, Catering and Institutional management.

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Editorial Reviews

From the Publisher
"A practical and user-friendly guide to the application of statistics."
Professor Peter Harris, Principal Lecturer, Financial Lecturer, Oxford Brookes University.
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Product Details

  • ISBN-13: 9781136001932
  • Publisher: Taylor & Francis
  • Publication date: 9/10/2012
  • Sold by: Barnes & Noble
  • Format: eBook
  • Pages: 288
  • File size: 8 MB

Table of Contents

Preface vii
Acknowledgements viii
1 Starting out 1
1.1 Numbers in the hospitality and tourism industries 2
1.2 How this book is organized 4
1.3 Taking the first steps 5
1.4 Technological support 16
Review questions 19
2 Presenting data 22
2.1 Types of data 23
2.2 Displaying qualitative data 25
2.3 Displaying quantitative data 34
Review questions 50
3 Summarizing univariate data 53
3.1 Measures of location 54
3.2 Measures of spread 68
Review questions 81
4 Summarizing bivariate data 84
4.1 Correlation and regression 85
4.2 Summarizing data collected over time 101
Review questions 111
5 Assessing risk 120
5.1 Measuring probability 122
5.2 Different types of probabilities 125
5.3 The rules of probability 128
5.4 Tree diagrams 136
Review questions 138
6 Putting probability to work 141
6.1 Simple probability distributions 142
6.2 Binomial distributions 147
6.3 Poisson distributions 153
6.4 Expectation 156
6.5 Decision trees 158
Review questions 161
7 Simulating populations 165
7.1 Normal distributions 166
7.2 The Standard Normal Distribution 174
7.3 Sampling distributions 187
7.4 t distributions 190
Review questions 193
8 Statistical decision making 197
8.1 Estimation 198
8.2 Hypothesis testing 211
Review questions 224
9 Statistical decision making using bivariate data 226
9.1 Contingency tests 227
9.2 Testing and estimating using quantitative bivariate data 236
Review questions 250
10 Managing statistical research 254
10.1 Secondary data 256
10.2 Primary data 258
10.3 Presenting your analysis 268
Appendix Solutions to selected review questions 273
Index 277
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