BUS152 STATISTICS FOR SOCIAL SCIENCES
| Course Code: | 3530152 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 6.0 |
| Department: | Business Administration |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. OĞUZ SOLYALI |
| Offered Semester: | Spring Semesters. |
Course Objectives
By the end of the course, the students will be able to
- Understand the usage of statistics in social sciences.
- Convert raw data into useful information and interpret it.
- Apply basic statistical concepts and methods useful in decision making.
- Use a statistical software to obtain statistical results.
Course Content
A course covering basic statistical concepts and methods useful in decision making in the business environment. Emphasis on descriptive and inferential tools used in converting raw data into useful information. Use of statistical computer packages and interpretation of statistical results. Topics include descriptive statistics, discrete and continuous probability distributions, sampling distributions, estimation, hypothesis testing, analysis of variance, simple linear regression, multiple regression, multiple regression model building, time series analysis.
Course Learning Outcomes
By the end of the course, the students will be able to
- Give examples of statistics used in business, economics and political science.
- Organize and present numerical and categorical data using tables and graphs.
- Calculate and interpret descriptive summary measures.
- Use basic probability concepts to calculate probabilities.
- Differentiate amongst different distributions and use distribution characteristics to calculate probabilities.
- Construct and interpret confidence interval estimates for parameters.
- Construct hypothesis tests, compute the statistical results using SPSS/Excel, and interpret the results.
- Use one-way ANOVA, compute the statistical results using SPSS/Excel, and interpret the results.
- Develop linear regression models, compute the statistical results using SPSS/Excel, and interpret the results.
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 identifying and analyzing legal, environmental and social factors, which influence the basic functional areas of the business administration. | ✔ | |||
| 3 | They understand and implement rational, systematic and scientific approaches effectively in problem solving and decision-making processes. | ✔ | |||
| 4 | They are capable of applying, analyzing, synthesizing and evaluating the knowledge they have in diverse fields efficiently. | ✔ | |||
| 5 | They are capable of transferring information by using efficient verbal and written communication techniques. | ✔ | |||
| 6 | They are capable of performing professional communication effectively also in English. | ✔ | |||
| 7 | They know the methods of performing efficient teamwork. | ✔ | |||
| 8 | They are capable of following the contemporary techniques, scientific and technological developments in their fields and are able to conduct research and studies in order to develop their business administration related knowledge, skills, and competences. | ✔ | |||
| 9 | They are knowledgeable in the areas of professional ethics and responsibility. | ✔ | |||
| 10 | They are capable of utilizing their knowledge and skills efficiently in global and multicultural contexts. | ✔ | |||
| 11 | They are knowledgeable in the issues of environment, social responsibility, social justice, quality and cultural values. | ✔ | |||
| 12 | They have a creative, innovative and critical perspective. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution