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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 1. To be able to examine the basic problems in the field of Accounting and Finance with scientific methods, to interpret and evaluate the data.
  2. P02 2. Muhasebe ve Finans alanındaki problemlere ilişkin uygulamada karşılaşılan karmaşık sorunları çözmek için bireysel ve grup üyesi olarak sorumluluk alabilmek ve çözüm üretebilmek.
  3. P03 3. To be able to critically evaluate the knowledge and skills acquired in the fields of Accounting and Finance, to determine learning needs and to carry the learning process to an advanced level.
  4. P04 4. To inform experts or non-experts on financial issues, to share their ideas and problems and solution methods by supporting them with quantitative and qualitative data.
  5. P05 5. To be able to interpret and evaluate the discussions on the theoretical aspects of Accounting and Finance.
  6. P06 6. To be able to identify regional and global problems that directly or indirectly affect financial issues, to develop solutions and strategies based on evidence and research.
  7. P07 7. To be able to define, evaluate and interpret the classical and current theories of accounting and finance policies and strategies, differences and relationships between them.
  8. P08 8. To have social, scientific and ethical values in the collection, interpretation, announcement and application of data in the field of accounting and finance and to assimilate these values.
  9. P09 9. To be able to follow, understand, interpret and analyze the changing trends in accounting and financial activities in the world at an advanced level, and apply innovation and innovative working principles.
  10. P10 10. To be able to set goals and take initiatives to achieve them, to be creative and open to criticism and to have professional competencies at an advanced level.
  11. P11 11. To have an advanced level of foreign language to follow and use the information in the field and to communicate with colleagues.
  12. P12 12. To have advanced computer software and hardware knowledge required by the field of Accounting and Finance, and to be able to use information and communication technologies at an advanced level.
  13. P13 13. To be able to use theoretical and practical knowledge gained in the field of Accounting and Finance at an advanced level.
  14. P14 14. To be able to benefit from other fields that form the basis of financial policies and to understand the interaction between these disciplines.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 P12 P13 P14 Average
L01 - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - -
L05 - - - - - - - - - - - - - - -
L06 - - - - - - - - - - - - - - -