Skip to main content
TR

TECHNIQUES FOR STATISTICAL ANALYSIS

Course
BUSN595 - TECHNIQUES FOR STATISTICAL ANALYSIS
Department
Master of Business Administration - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords
-

Course Description

-

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

Week Topic
Week 1 Statistics, Data
Week 2 Methods for Describing Sets of Data
Week 3 Sampling and sampling Distribution
Week 4 Probability
Week 5 Probability
Week 6 Practical cases/Quiz
Week 7 midterm
Week 8 midterm
Week 9 Discrete Random Variables and Probability Distribution
Week 10 Continous Random Variables and Probability Distribution
Week 11 Hypothesis testing:Single Population
Week 12 Hypothesis testing: Two Population
Week 13 Practical cases/Quiz
Week 14 Final exam
Week 15 Final exam

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 Been able to demonstrate their learned skills and knowledge regarding business related issues and research which they can use continuously in their personal and business life.
  2. P02 PO2 Obtained theoretical and practical information from the courses that allowed students to learn and work independently.
  3. P03 PO3 Been ensured that they learnt by increasing their level of knowledge and skills which are necessary in their field.
  4. P04 PO4 Increased their creativity and analytical thinking and developed crucial skills which are needed to be applied both in their studies, research, and future careers.
  5. P05 PO5 Adopted and implemented ethical principles and moral values regarding the use of technology in their studies and professional lives by creating an awareness on using the technological imperatives.
  6. P06 PO6 Designed their theoretical and practical knowledge in a way that they could make use of in a collaborative usage and various working contexts.
  7. P07 PO7 Enrolled in intercultural or international projects which could provide opportunities to develop their skills and implement them successfully in their studies, research and future careers.
  8. P08 PO8 Improved their communication skills successfully and been able to implement them in various international education, research and work context by increasing their social capital.
  9. P09 PO9 Been able to implement their learnt knowledge and research skills into practice through scenarios, case studies, empirical articles and real-life observations.
  10. P10 PO10 Created awareness and developed ethical undertaking by incorporating the learnt theories with environmental approaches to be further implemented into their research and careers.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 Average
L01 - - - - - - - - - - -
L02 - - - - - - - - - - -
L03 - - - - - - - - - - -
L04 - - - - - - - - - - -
L05 - - - - - - - - - - -
L06 - - - - - - - - - - -