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Statistics in Economics and Management (1)

Course Description: This course aims to introduce students to the fundamentals of probability theory and sampling distribution theory, which are the cornerstones of statistical theory. It also aims to familiarize students with the basic concepts and theories related to statistical inference, which deals with developing methods for estimating population parameters and hypothesis testing concerning them. The course will demonstrate how to apply these methods in the field of business administration using R or MS Excel.
Credit hours: 3
Objectives of the course :

After completing this course, the student will be able to:
Identifies the basic concepts of probability theory and inferential statistics.
explains concepts related to probability rules and the estimation and testing of population parameters.
Applies concepts and techniques of statistical estimation and hypothesis testing in the fields of economics and business administration.
R or MS Excel are used to solve real statistical problems, interpret the results, and apply them in decision-making.

Course outputs :

1.1 Defines the basic concepts of probability theory and inferential statistics.
1.2 Explains concepts related to probability rules and estimation and testing of population parameters.
1.3 Applies concepts and techniques of statistical estimation and hypothesis testing in the field of economics and business administration.
2.1 R or MS Excel is used to solve some real statistical problems, interpret the results, and use them in decision-making.

Additional information:
  • Last updated: 2026-04-30

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