Degree | Type | Year | Semester |
---|---|---|---|
2500894 Tourism | FB | 1 | 2 |
None
At the end of the course, students will be able to:
TOPIC 1. INTRODUCTION TO STATISTICS
Basic Concepts in Statistics. Organizing and presenting data: Tables and frequency distribution and graphic representations.
TOPIC 2. MEASURES OF CENTRAL TENDENCY
Concepts of mean, median, mode, quintiles. Relationship between measures. Procedures and applications.
TOPIC 3. MEASURES OF DISPERSION
Range, interquartile range, deviation, variance, standard deviation and coefficient of variation.
TOPIC 4. FREQUENCY DISTRIBUTION
Theoretical frequency distribution of a variable. Measures of concentration and inequalities: asymmetry and kurtosis. Normal distributions.
TOPIC 5. SERIES OF TWO VARIABLES
Definition and graphical representation. Central tendency. Statistical dispersion. Covariance.
TOPIC 6. STATISTICAL DEPENDENCE. CORRELATION
Correlation: concept, procedure and application. Pearson’s correlation coefficient. Fitting linear regressions amongst two variables. Least squares approach.
TOPIC 7. TIME SERIES
Definition and graphical representation. Components of time series. Seasonal variation. Seasonal Indices. Seasonal adjustment.
TOPIC 8. A DESCRIPTIVE ANALYSIS OF TIME SERIES
Index numbers. Complex index numbers with and without weights. Paasche, Laspeyres and Fisher indices. Link and changes of base periods. Deflation of economic series.
The course has three methods of teaching and learning:
a) Theory sessions
During the lectures the concepts will be explained in a theoretical way and exemplified with practical applications. Some sessions will require student’s participation to solve problems.
b) Practice sessions
During these sessions, topics covered in the theory sessions will be reviewed through exercises, group projects and individual tests that will be undertaken throughout the course. Tourism‐related case studies will be presented and specific variables of this industry will be analysed. Students will receive guidance from the instructor in carrying out a project involving the use of statistical and computer skills. Specialised software will be used as much as possible during the sessions.
c) Self‐learning
The Virtual Campus will be used as a complement and as an alternative means of communication between students and their instructor. All the relevant material of the course, examples and exercises will be attached here online.
Each student should manage their time to study and solve problems proposed in addition to work on a research project using statistical data in the tourism sector to be presented at the end of the course.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Solving cases | 15 | 0.6 | 5, 7, 4, 6, 8 |
Theory sessions | 43 | 1.72 | 2, 5 |
Type: Supervised | |||
Tutorship | 20 | 0.8 | 2, 5, 4 |
Type: Autonomous | |||
Autonomous study | 23 | 0.92 | 2, 3, 5, 4, 6 |
Research | 15 | 0.6 | 1, 2, 3, 5, 4, 8 |
Solving problems and assignments | 26 | 1.04 | 2, 3, 5, 4, 6, 8 |
Students may choose between a continuous assessment and direct access to the final examination (a unique final evaluation).
Continuous assessment
a) Individual and group exercises developed throughout the quarter. This represents 20% of the final mark.
b) Group work with a public presentation in the classroom which will be worth 20% of the final mark.
c) Two individual tests based on theory and exercises, which will be worth 60% of the final mark.
To get the final mark, an average of at least 4 out of 10 must be reached in each part being evaluated.
Unique final evaluation
Students will be examined on all the topics taught in class and the result of this exam will count for a 100% of the final mark.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Final project and presentation | 20% | 4 | 0.16 | 1, 2, 3, 5, 7, 4, 8 |
Individual and group assignments | 20% | 0 | 0 | 1, 2, 3, 5, 4, 6, 8 |
Partial exam 1 | 30% | 2 | 0.08 | 2, 3, 5, 4, 6 |
Partial exam 2 | 30% | 2 | 0.08 | 2, 3, 5, 4, 6 |
Buglear, J. (2010). Stats means business- Statistics with Excel for business, hospitality & tourism (2nd ed.). New York: Elsevier.
Davis, G., & Pecar, B. (2009). Business Statistics using Excel (2nd ed.). Oxford University Press.
Good, P. I., & Hardin, J. W. (2012). Common errors in statistics (and how to avoid them). [Hoboken, N.J.] : John Wiley.
Newbold, P., Carlson, W. L., & Thorne, B. (2013). Statistics for business and economics. Harlow, Essex : Pearson Education.
Ross, S. M. (2010). Introductory statistics. Amsterdam [etc.]: Elsevier : Academic Press.
Rugg, G. (2007). Using statistics: a gentle introduction. Maidenhead : McGraw-Hill.
UNWTO (2010) International Recommendations for Tourism Statistics 2008, Statistics and Tourism Satellite Account, World Tourism Organization, New York. [Available online]
UNWTO (2015) Methodological Notes to the Tourism Statistics Database 2015, World Tourism Organization, Madrid. [Available online]