Tribhuvan University
Faculty of Management
Office of the Dean
Bachelor of Hotel Management (BHM)
Course Description
:This course provides students with basic statistical concepts and tech niques that are used in hotel management. It focuses on the application of statistics in hospitality and tourism data analysis and interpretation using different software. The course highlights: Basic Concept of statistics, Classification and presentation, Measure of central tendency, measure of dispersion, shape of frequency distribution, basics of probability and sampling techniques, tourism statistics and time series analysis of tourism and hospitality data.
Course Objective
:The basic objective of this course is to provide students to develop competency and ability to use statistical techniques and tools in hospitality and tourism data management and various research projects. Course description This course provides students with basic statistical concepts and tech niques that are used in hotel management. It focuses on the application of statistics in hospitality and tourism data analysis and interpretation using different software. The course highlights: Basic Concept of statistics, Classification and presentation, Measure of central tendency, measure of dispersion, shape of frequency distribution, basics of probability and sampling techniques, tourism statistics and time series analysis of tourism and hospitality data.
Course Contents:
Lecture hours show the approximate classroom time allocated to each unit.
Unit 1. Introduction to Statistics and the Role in Tourism
- Basic concepts of statistics and their essential role in tourism planning and hotel management, Terminologies associated with statistics such as populations and samples, Variables (qualitative/quantitative), and data types (primary/secondary) within tourism and hotel management context , Descriptive and inferential statistics, Data processing (editing and coding), Applications of statistics in hotel management and tourism management.
Unit 2. Data Collection and Organization
- Methods for gathering data from diverse sources (surveys, booking records, social media, government data base) and organizing data using diagram (simple bar diagram, sub -divided bar diagram, multiple bar diagram and pie diagram), Cumulative frequency distribution, Ogive, Histograms, Frequency curve, Scatter plots, Cross tabulation, Stem and leaf display.
- Project Work: Diagrammatic and graphical representation tourism and hospitality dat a by using of computer software.
Unit 3. Descriptive Statistics: Numerical Measures
- Measure of Location: Mean, Median, Mode, Partition values: Quartiles, Deciles, Percentiles
- Selection of measure of location.
- Measure of Dispersion: Range, Inter quartile Range, Quartile Deviation, Standard deviation, Variance, Coefficient of variation, Shape of the Distribution: Skewness (Karl Pearson’s coefficient of skewness, skewness based on quartiles), Percentile coefficient of kurtosis, Five number summary, Box and whisker plot.
- Project Work: Descriptive statistics and numerical measures of tourism and hospitality data by using computer software.
Unit 4. Introduction to Probability
- Basics Concept of Probability: Experiment, Event, Types of events, Concept of probability Probability Laws: Additive and multiplicative law of probability.
Unit 5. Sampling Technique `
- Population, Types of populat ion, Census and sampling, Objectives of sampling, Types of sampling: Probability and Non Probability Sampling, determination of sample size, Sampling and non- sampling error.
- BHM/ BTTM
Unit 6. Tourism Statistics
- Definition of international and do mestic tourist movement. Collection of data on tourist arrival, Departure and tourist expenditure, Economic data (job creation, revenue generation, GDP contribution and foreign exchange earrings), Socio -cultural data (impact on local communities, cultural exchange, preservation of heritage and quality of life), Environmental data ( impact on the local ecosystem, air quality, water quality and biodiversity), Presentation and tabulation of travel statistics. Tourism indicators measurement of Nepal.
- Time Ser ies Analysis of Tourism Statistics: Introduction, Components of times series, Measurement of trend: Graphical curve fitting method, Method of moving average and method of least square. Seasonal variation: method of simple average.
- Project Work: Time Serie s Analysis of impacts of tourism on economic, socio -cultural and environmental data by using computer software.
Unit 7. Simple Correlation and Regression Analysis
- Meaning of correlation and regression, Scatter diagram, Karl Pearson correlation coefficient, Simple regression analysis, Properties of regression coefficient.
- Project Work: Correlation and Regression Analysis of tourism and hospitality data by using computer software.
Suggested Readings:
Dennis J. S, Thomas A.W &Anderson, D. R., Fundamentals of Business Statistics, New Delhi: Cengage Learning Gupta, S. C, Fundamentals of Statistics: Mumbai: Himalayan Publishing House. Levin, R. Dubin, D, Stison J. Statistics for Management, Mc Graw Hill Inc. Tourism Statistics of Nepal (latest publication), Ministry of Culture, Tourism & Civil Aviation Planning & Evaluation Division Statistical Section.