BA5521 APPLIED BUSINESS STATISTICS
| Course Code: | 3125521 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Business Administration |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
This is a course on applied statistics. The course will start with a review of univariate descriptive and
inferential statistics to introduce the statistical software package SPSS. The first part of the course will
cover selected predictive methods such as simple linear regression, multiple regression, and nonlinear
regression. The second part will introduce multivariate methods for data classification and data reduction:
cluster analysis, discriminant analysis, principal components, and exploratory factor analysis. The methods
will be explained using applied cases. Students will be required to use SPSS for their assignments and final
projects based on examples covered in class.
Course Content
This is a course on applied statistics. The course will start with a review of univariate descriptive and inferential statistics to introduce the statistical software package SPSS. The first part of the course will cover selected predictive methods such as simple linear regression, multiple regression, and nonlinear regression. The second part will introduce multivariate methods for data classification and data reduction: cluster analysis, discriminant analysis, principla components, and exploratory factor analysis. The methods will be explained using applied cases. Students will be required to use SPSS for their assignments and final projects based on examples covered in class.
Course Learning Outcomes
Upon successful completion of this course, students should be able to:
Course Specific Skills:
1. recognize which method is applicable given a research question
2. apply statistical models and interpret results
3. understand the underlying assumptions
4. know how to identify and overcome assumption violations
5. interpret estimated results
Discipline Specific Skills:
6. understand statistical terminology
7. construct research questions and choose appropriate method
8. Use statistical methods as decision support tools
Personal and Key Skills:
9. Develop an understanding of applied statistical analysis
10. Develop an understanding of how statistical software package (SPSS) works
Program Outcomes Matrix
| Level of Contribution | |||||
| # | Program Outcomes | 0 | 1 | 2 | 3 |
| 1 | They attain advanced level of knowledge in the functional areas of business administration such as strategic management, marketing, accounting, finance, organization management, human resources, and operations management. | ✔ | |||
| 2 | They are capable of synthesizing the knowledge that they attained in the area of business administration with the knowledge base that they developed in their undergraduate specialisms. | ✔ | |||
| 3 | They are capable of identifying and analyzing legal, environmental and social factors, which influence the basic functional areas of the business administration. | ✔ | |||
| 4 | They understand and implement rational, systematic and scientific approaches effectively in problem solving and decision-making processes. | ✔ | |||
| 5 | They are capable of applying, analyzing, synthesizing and evaluating the knowledge they developed in diverse fields efficiently. | ✔ | |||
| 6 | They are capable of transferring information by using efficient verbal and written communication techniques. | ✔ | |||
| 7 | They are capable of performing professional communication effectively also in English. | ✔ | |||
| 8 | They know methods of performing efficient teamwork. | ✔ | |||
| 9 | They are capable of understanding and synthesizing academic and scientific research in their areas and able to transform such research into useful knowledge. | ✔ | |||
| 10 | They have competence in all of the stages of scientific research and processes. | ✔ | |||
| 11 | They are knowledgeable in the areas of professional ethics and responsibility. | ✔ | |||
| 12 | They are capable of utilizing their knowledge and skills efficiently in global and multicultural contexts. | ✔ | |||
| 13 | They are knowledgeable in the issues of environment, social responsibility, social justice, quality and cultural values. | ✔ | |||
| 14 | They have a creative, innovative and critical perspective. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution