Description

The course introduces students to statistics and its keywords. It provides information about sample types and sample selection, and modes of displaying and summarizing and presenting statistical data. It also presents the basic principles of statistical education, statistical experiments, specification of distributional functions and prediction and estimation. It interprets diagrams Bi Variant and Time Series Data. It summarizes Uni- Variate Data and Bi Variate Data. It measures Location from classified data and spread tackles the theory of probabilities, random variables, probability distribution, presumptuous selection and simple linear regression analysis. It analyzes Simple Linear Regression, changes Overtime- Index numbers and Time Series. This course also introduces statistics of average length of stay and occupancy rate, determination of average room rate and room revenue and accommodation capacity and touristic nights.

Program

B.Sc. Hotel Management

Objectives

Deal with numerical aspects in hospitality and tourism industry. Get acquainted with the area of quantitative methods. Understand statistical terms like data analysis and basic statistics.

Textbook

Data will be available soon!

Course Content

content serial	Description
1	Introducing Statistics Numbers in the hospitality and tourism Industries Statistical keywords
2	Summarizing univariant data Measures of location Measures of spread Classification of data
3	Sample Types of samples Sample selection
4	Summarizing bivariant data Correlation and Regression Simple Linear Regression Time series analysis
5	Presenting Data Types of data Displaying quantities and qualities data
6	Probability Simple probability distribution
7	Interpreting Diagrams Bi-variant data Time series data
8	Simulating Population Normal distribution Standard normal distribution Sampling and T-distribution
9
10
11
12
13
14
15
16
1	Introducing Statistics Numbers in the hospitality and tourism Industries Statistical keywords
2	Summarizing univariant data Measures of location Measures of spread Classification of data
3	Sample Types of samples Sample selection
4	Summarizing bivariant data Correlation and Regression Simple Linear Regression Time series analysis
5	Presenting Data Types of data Displaying quantities and qualities data
6	Probability Simple probability distribution
7	Interpreting Diagrams Bi-variant data Time series data
8	Simulating Population Normal distribution Standard normal distribution Sampling and T-distribution
9
10
11
12
13
14
15
16

Markets and Career

Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
Electrical power feeding for civil and military marine and aviation utilities.
Electrical works in construction engineering.

Degree Bachelor
Code: EA231
Credit hrs: 3
Prequisites: None

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Statistics