TECHNIQUES FOR STATISTICAL ANALYSIS

Course Description

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TECHNIQUES FOR STATISTICAL ANALYSIS

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 define statistical applications for business and economics.
2. 02 discuss the elementary concept of probability theory and also sampling theory
3. 03 construct probability models with an emphasis on discrete random variables.
4. 04 pply methods for continuous random variables and probability distributions and predicting approximations.
5. 05 interpret based on a Single Sample: Estimation with Confidence Intervals.
6. 06 nterpret based on a Single Sample: Estimation with Confidence Intervals.

Course Syllabus

Reference Books & Course Materials

1. 01 Statistics for business and economics (2013) Paul Newbold, William L. Carlson, Betty M. Thorne.—8th ed
2. 02 Freedman, D. A. (1985). Statistics and the scientific method. In Cohort analysis in social research (pp. 343-366). Springer, New York, NY.

Learning Outcomes

1. L01 define statistical applications for business and economics.
2. L02 discuss the elementary concept of probability theory and also sampling theory
3. L03 construct probability models with an emphasis on discrete random variables.
4. L04 pply methods for continuous random variables and probability distributions and predicting approximations.
5. L05 interpret based on a Single Sample: Estimation with Confidence Intervals.
6. L06 nterpret based on a Single Sample: Estimation with Confidence Intervals.

Program Outcomes

1. P01 PO1: Endowed with the ability to evaluate self-learning needs adapted to the principle of lifelong learning.
2. P02 PO2: Established a general knowledge of economics sufficient to conduct independent and original research on economic issues and suggest relevant economic policies to solve both microeconomic and macroeconomic problems.
3. P03 PO3: Reached the required knowledge and skills; to understand the foundations, basic framework, and complexity of economic theories; to recognize the contribution and limitations of traditional theories; to explore modern economic theories and modeling of more complex situations; and to apply introduced theories in a discussion of research interests.
4. P04 PO4: Engaged in scientific inquiry, critical thinking, using quantitative and qualitative methods to demonstrate the ability to analyze and make recommendations for complex contemporary economic issues.
5. P05 PO5: Demonstrated the development of critical thinking and scientific reasoning skills with an attention to ethical aspects of data analytics, and been aware of acting in accordance with the ethical standard of scientific research and professional work.
6. P06 PO6: Been equipped with the ability to plan, take responsibility in economic projects individually or within a team for economic decision making for a variety of economic concepts in national and global environment.
7. P07 PO7: Endowed with the ability to communicate and explain effectively economic arguments both in oral and written ways to those with scholar knowledge and non-experts.
8. P08 PO8: Been able to apply economic theory and methods in real life situations which is of primary importance to generate relevant economic policies and conduct economic research.
9. P09 PO9: Developed an ability to conduct economic research and write a thesis connecting the theory and empirical conditions with particular attention to ethical perspectives and social responsibilities.

Po-Lo Matrix