Ders Planı

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Lesson plan / STATISTICS-I

Lesson Information

Course Credit	3.0
Course ECTS Credit	5.0
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Compulsory
Mode of Delivery	Distance Learning
Does the course require compulsory or optional work experience?	Z
Course Coordinator
Instructor (s)	Assist. Prof. Dr. UĞUR ŞENER\|Prof. Dr. ERGİNBAY UĞURLU
Course Assistant

Purpose and Content

The aim of the course	making the students enabling commenting and applying the statistical teckniques through basic knowledge of statistic.
Course Content	Simple regression model, multiple regression model, general linear model, features of estimators and estimation. Statistical tests. Analysis of variance. Using indicator variables. Forecasting with the help of general linear model. Preselection prediction. Foresight range and effectiveness of foresight. Balance tests by using reduced regression

Learning Outcomes

Comprehend the fundamental concepts and theories of business administration science.
Comprehend 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.
Synthesize 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.
Synthesize 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	Introduction to statistics, definition
2	Basic terms, population, sample, variable
3	Tables and graphs
4	Measures of central tendency, mean, weighted mean
5	Geometric mean, harmonic mean, quadratic mean
6	Mode and median
7	Measures of variation (deviation, mean deviation, mean absolute deviation, standart deviation)
8	Variance and its properties, coefficient of variation
9	Skewness and Kurtosis, Pearson's Skewness Coefficients,
10	Moments, Skewness and Kurtosis Moments
11	Introduction to Probability Theory and Basic Rules of Probability
12	Probablity problem solving
13	Conditional probabilities, Bayes' theorem
14	Random variables, Expected value, Probability distributions

Resources

İstatistiğe Giriş 1-GAZİ KİTABEVİ- Serdar Kılıçkaplan.
İstatistik Sayıların Arkasını Anlamak-LİTERATÜR - DERS KİTAPLARI- Ümit Şenesen

CLASS 1

CLASS 2

CLASS 3

CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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