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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: Become knowledge workers who whose focus will be on continuous learning as their competitive advantage by learning new methods and skills which they can use both in their lives and workplace, especially in health sector.
  2. P02 PO2: Developed various skills and acquired the necessary knowledge which are required to keep improving themselves by working independently.
  3. P03 PO3: Become among the best professionals in the health care industry due to their developed skills and gathered knowledge which will set them apart from the competition.
  4. P04 PO4: Been able to apply appropriate methods and analytical procedures to analyze health-related issues faced by the organizations and empirically investigate and propose creative and valid solutions based on this analysis.
  5. P05 PO5: Learnt to use technology in class and research in an ethical and secured manner by implementing these skills in their professional and private lives.
  6. P06 PO6: Gained the ability to apply theories and use appropriate management tools and methods collaboratively in order to develop strategic decisions which are specific to unique health management contexts.
  7. P07 PO7: Practiced and mastered communicating effectively, both verbally and in writing, with individuals from different cultures within and outside the academia and organizations.
  8. P08 PO8: Been able to implement the learnt skills and knowledge, by developing research-based solutions to current regional and global health issues.
  9. P09 PO9: Developed enthusiasm and awareness about the environment by associating health and management theories with ethical and environmental approaches in order to further study and investigate critical health managerial issues.

Po-Lo Matrix

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