Business Research and Statistics (MGMT 900)

2020 Fall
Sabancı Business School
Management(MGMT)
2
5
Abdullah Daşcı dasci@sabanciuniv.edu,
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English
Doctoral, Master
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CONTENT

This course covers a range of topics related to research methodology and statistics relevant to managerial decision making. The emphasis is on using the concepts taught throughout the semester in terms of conducting hands-on data analysis. Topics covered include measurement and sampling, survey construction and validation, basic probability concepts and probability distributions, and statistics concepts such as confidence intervals, hypothesis testing, regression and time-series forecasting. The successful student will finish this course with an ability to effectively evaluate and act upon statistical reports and data relating to applications in business.

LEARNING OUTCOMES

  • Upon successful completion of this course, students should be able to: -Apply a survey of probability and statistic to decision making in a business environment. Discuss and use various statistical methodologies -Apply statistics in many different fields, both business and non-business related. -Compute statistical analysis of real data using the computer and interpret the results of their analysis. -Interpret data and discuss graphical and methodological ways to highlight what is going on in the data. -Summarize relationships in the data using statistical methods.

PROGRAMME OUTCOMES


1. Develop the ability to use critical, analytical, and reflective thinking and reasoning 5

2. Reflect on social and ethical responsibilities in his/her professional life. 3

3. Gain experience and confidence in the dissemination of project/research outputs 4

4. Work responsibly and creatively as an individual or as a member or leader of a team and in multidisciplinary environments. 5

5. Communicate effectively by oral, written, graphical and technological means and have competency in English. 4

6. Independently reach and acquire information, and develop appreciation of the need for continuously learning and updating. 4


1. Develop, interpret and use statistical analyses in decision making. 5


1. Identify and diagnose business problems and opportunities accurately and effectively across a wide range of business domains (accounting, financial management, operations, marketing, strategy, and organizational design), in global and local contexts. 4

2. Incorporate cultural context and complexities in their managerial practice. 3

3. Assess the performance of an organization in a wide range of business domains, using a range of performance criteria. 4

4. Identify, select, and justify strategies and courses of action at the divisional, business, and corporate levels of analysis and to develop effective plans for the implementation of selected strategies across a wide range of business domains and levels. 4