Ders Planı

Lesson Information

Course Credit	3.0
Course ECTS Credit	5.0
Teaching Language of Instruction	İngilizce
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Compulsory
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	Z
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Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	The main objective of this course is to explain simple and multivariate statistical methods to use on economical data.
Course Content	The contents of this course: Simple and multiple regression, simple and partial correlation, significance tests of coefficients, predictions and determining confidence intervals.

Learning Outcomes

Comprehend the fundamental concepts and theories of business administration science.
Analyze the relationships between fundamental concepts and theories of business administration science.
Illustrate the theoretical frame drawn from business operations.
Comprehend the context of the underlying cases of national and international business administration.
Describe cause-effect relationships in the context of cases covered by national and international business administration cases.
Synthesis information on popular issues related to business administration.
Comprehend the role of business in the operation of global and national economic systems.
Analyze the effect and the contributions of external stakeholders to the relationships between business organizations.
Analyze comments the power and benefit relationship between internal stakeholders.
Synthesis social and technical dimensions based on the integration between business operations.
Use creative, innovative and analytical thinking skills to solve business administration problem.
Use modern methods and technologies of business administration in the business environment.
Behave as a leader or follower when necessary.
Act as a team player to operate and to make a decision in business organizations.
Analyze data about business administration issues by qualitative and quantitative techniques.
Organise the business operations with an entrepreneurial spirit.
Solve business problems quickly and effectively in the national and global competition environment and uses initiative.
Develop innovative and creative projects for industry by using the accumulation of knowledge and skills.
Keep up to date the accumulation of knowledge and skill by following developments in the economics and business administration issues.
Closely follow the developments that may occur in the business profession.
Develop the planning, organisation, operation, coordination and auditing functions of the business management.
Develop the operations to comply with the structure of a business organization.
Adopt their way of behavior that will ensure compliance with the new conditions as parallel to changes in business administration.
Communicate actively and constantly with other stakeholders in business administration profession.
Solve problems by using advanced level of information technology.
Use English language to communicate effectively and fluently.
Act in accordance with moral and ethical concepts related to business administration.
Analyze the relationships between business organization and stakeholders.
Apply the innovative and creative thinking in the business administration fields.
Become conscious intended for the universality of democracy and human rights of the business environment, organizational justice, socio-cultural values in the way of business administration, and the environmental issues.

Weekly Course Subjects

1	Experimental Design and Introduction to Analysis of Variance
2	Analysis of Variance (One-Way ANOVA)
3	Analysis of Variance (Two-Way ANOVA)
4	Calculation and interpretetion of situation and statistical connections
5	Simple Linear Regression and Correlation
6	Simple Linear Regression and Correlation with Coefficient Tests
7	Simple Linear Regression and Correlation with Coefficient Tests
8	Applications
9	Mid-term exam
10	Chi-square independence test, Chi-square homogenity test
11	Chi-square goodness of fit test for the Uniform, Binomial and Poisson Distribution
12	Chi-square goodness of fit test for the Normal Distribution
13	Time Series Analysis and Forecasting
14	Time Series Analysis and Forecasting

Resources

1- Rossman, Allan J. and Chance, Beth L., Workshop Statistics, Second Edition,2007.
2- Ross Sheldon, Introduction to Probability and Statistics for Engineers and Scientists, Academic Press, Fourth Edition,2009.

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Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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