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Statistics in Economics and Management (2)

Course Description: This course aims to introduce students to basic statistical methods and tools for data analysis and their applications in the business world. Key methods include analysis of variance, independence tests, homogeneity tests, goodness-of-fit tests, correlation, regression, time series analysis, forecasting, and non-parametric tests, with an explanation of how to apply these methods in business management using R or MS Excel.
Credit hours: 3
Prerequisites : STAT124
Objectives of the course :

After completing this course, the student will be able to:
It defines the basic concepts in applied statistics.
Explains concepts related to applied statistics methods and data analysis.
Applies appropriate statistical analysis models in the fields of economics and business administration.
R or MS Excel is used for data analysis and interpreting results.

Course outputs :

1.1 Identifies fundamental concepts in applied statistics.
1.2 Explains concepts related to applied statistics methods and data analysis.
1.3 Applies appropriate statistical analysis models in the field of economics and business administration.
2.1 R or MS Excel is used to analyze data and interpret results.

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  • Last updated: 2026-04-27

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