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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: Acknowledged that acquired knowledge and continuous learning will be their competitive advantage by learning new methods and skills which they can use both in their lives and workplace, especially in the field of marketing.
  2. P02 PO2: Acquired the necessary skills and knowledge which enforced the students to keep developing themselves by working independently.
  3. P03 PO3: Applied the marketing research process by using different techniques from different scientific points of view, and interpreted the findings by combining them with advanced theoretical knowledge in marketing field and develop creative strategies.
  4. P04 PO4: Applied critical thinking and evaluate and resolve issues and situations from the perspective of ethical behaviour, responsible management and sustainability.
  5. P05 PO5: Been able to use technological tools and share the information obtained during the program in a safe and secure way in their professional and private lives.
  6. P06 PO6: Gained the ability to study and work collaboratively with colleagues/co-workers in multicultural environments.
  7. P07 PO7: Been able to communicate effectively, both verbally and in writing, with people from different cultures inside and outside the company.
  8. P08 PO8: Practiced scenarios and case studies in order to apply various marketing theories knowledge and research with the aim to solve real-life problems faced by organizations.
  9. P09 PO9: Comprehended ,analyzed the environmental factors affecting organizations and been able to formulate a marketing plan that will meet the organization's objectives based on the theories and knowledge acquired.
  10. P10 PO10: Developed awareness about the environment by associating marketing theories with environmental approaches.
  11. P11 PO11: Gained social, scientific and ethical values in the stages of data collection, interpretation, dissemination and application in the field of marketing.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 Average
L01 - - - - - - - - - - - -
L02 - - - - - - - - - - - -
L03 - - - - - - - - - - - -
L04 - - - - - - - - - - - -
L05 - - - - - - - - - - - -
L06 - - - - - - - - - - - -