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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
STATISTICS BUS2153230Fall Semester3+035
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Tuğba ASLAN KHALİFA
Name of Lecturer(s)Assist.Prof. Esra BAYTÖREN
Assistant(s)
AimThe aim of this course is to equip students with the foundational knowledge and practical skills necessary to effectively analyze and interpret data in the context of business decision-making.
Course ContentThis course contains; General Concepts of Statistics,Frequency Distrubutions and Graphs for Categorical Variables,Frequency Distrubutions and Graphs for Numerical Variables,Measures of Central Tendency,Measures of Variability,Chebyshev’s Theorem,Measures of Skewness and Kurtosis,Stem-and-Leaf Diagrams, Box Plots and Outlier Detection ,Measure of Association Between Two Variables: Covariance and Correlation,Introduction to Probability, Basic Concepts and Discrete Probability Distributions,Continuous Probability Distributions and Normal Distribution,Sampling Distribution of the Sample Mean and Confidence Intervals,Introduction to Regression Analysis,Examples for Regression Analysis.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Will be able to describe the limited but essential role of statistics in social research.10, 16, 6, 9A
1.1 Demonstrate knowledge of statistical terminology.
1.2 Determine data type and measurement level of each variable.
1.3 Explain the difference between an observational study and an experimental study.
2. Will be able to explain the purpose of descriptive statistics in making data more understandable. 10, 16, 6, 9A
2.1 Summarize qualitative data by using frequency distributions, bar charts, and pie charts.
2.2 Summarize quantitative data by using frequency distributions, histograms, frequency polygons, and ogives.
2.3 Summarize data using measures of central tendency like mean, median, and mode.
2.4 Define data using measures of variability such as range, variance, and standard deviation.
3. Will be able to explain how to use relationship measures to describe and analyze relationships.10, 16, 6, 9A
3.1 Describe the relationship in two-variable tables using changes in conditional distribution.
3.2 Interpret scatterplots.
3.3 Interpret the covariance and correlation coefficient of a two-variable dataset.
3.4 Explain the concepts of total, explained, and unexplained variance.
4. Will be able to recall how to utilize of probability theory for decision making in uncertain situations.10, 16, 6, 9A
4.1 Calculate the probability of an event.
4.2. Calculate the probability of compound events.
4.3. Use basic counting rules for probability calculations.
5. Will be able to explain how the behaviour of a random variable is summarised through probability distributions.10, 16, 6, 9A
5.1 Explain the difference between discrete and continuous random variables.
5.2. Construct discrete probability distributions and computes means and standard deviations.
5.3 Describe the characteristics of the normal distribution.
6. Will be able to explain sampling procedures and sampling distributions10, 16, 6, 9A
6.1 Explain the concept of random sampling and selects random samples.
6.2 Describe and uses the sampling distribution of sample means.
6.3 Define and uses the central limit theorem.
7. Will be able to perform regression and correlation analysis. 10, 16, 6, 9A
7.1 Explains regression and correlation.
7.2 Conduct regression analysis.
7.3 Interpret correlation.
Teaching Methods:10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1General Concepts of Statistics
2Frequency Distrubutions and Graphs for Categorical Variables
3Frequency Distrubutions and Graphs for Numerical Variables
4Measures of Central Tendency
5Measures of Variability
6Chebyshev’s Theorem
7Measures of Skewness and Kurtosis
8Stem-and-Leaf Diagrams, Box Plots and Outlier Detection
9Measure of Association Between Two Variables: Covariance and Correlation
10Introduction to Probability, Basic Concepts and Discrete Probability Distributions
11Continuous Probability Distributions and Normal Distribution
12Sampling Distribution of the Sample Mean and Confidence Intervals
13Introduction to Regression Analysis
14Examples for Regression Analysis
Resources
Main Sources: [1] Statistics for Business and Economics, 14th edition, McClave, Benson, Sincich, Pearson, 2022. [2] Essentials Business Statistics, 5th Edition, Bruce L. Bowerman, Richard T.O’Connell, Emily S. Murphree, J. B. Orris, Mc Graw Hill Education, 2015. [3] Statistics for Business and Economics, 11th Edition, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, South-Western Cengage Learning, 2011.
Other recommended sources: [4] İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık, 2018 [5] Lecture Notes

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Defines the theoretical issues in the field of business administration
X
2
Describes the necessary qualitative and quantitative methods in the field of business and management.
X
3
Uses at least one computer program in the field of business and management
X
4
Sustains proficiency in a foreign language required for business and management.
5
Prepares managerial investment projects and work in a team.
X
6
Constantly renews himself / herself by following developments in business and management with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got.
7
Uses theoretical and practical expertise in the field of business administration
X
8
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication.
X
9
Adopts organizational / institutional and social ethical values.
10
Within the framework of service responsiveness, adopts social responsibility principles and takes initiative when necessary.
11
Uses and analyses basic facts and data in different disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies.
X
12
Uses and Analyses the fundamental and advanced techniques in the field to enhance business performance, productivity, sustainability,innovation and research, efficiency and effectiveness.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14228
Guided Problem Solving14228
Resolution of Homework Problems and Submission as a Report515
Term Project12020
Presentation of Project / Seminar122
Quiz21020
Midterm Exam11616
General Exam13131
Performance Task, Maintenance Plan000
Total Workload(Hour)150
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(150/30)5
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
STATISTICS BUS2153230Fall Semester3+035
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Tuğba ASLAN KHALİFA
Name of Lecturer(s)Assist.Prof. Esra BAYTÖREN
Assistant(s)
AimThe aim of this course is to equip students with the foundational knowledge and practical skills necessary to effectively analyze and interpret data in the context of business decision-making.
Course ContentThis course contains; General Concepts of Statistics,Frequency Distrubutions and Graphs for Categorical Variables,Frequency Distrubutions and Graphs for Numerical Variables,Measures of Central Tendency,Measures of Variability,Chebyshev’s Theorem,Measures of Skewness and Kurtosis,Stem-and-Leaf Diagrams, Box Plots and Outlier Detection ,Measure of Association Between Two Variables: Covariance and Correlation,Introduction to Probability, Basic Concepts and Discrete Probability Distributions,Continuous Probability Distributions and Normal Distribution,Sampling Distribution of the Sample Mean and Confidence Intervals,Introduction to Regression Analysis,Examples for Regression Analysis.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Will be able to describe the limited but essential role of statistics in social research.10, 16, 6, 9A
1.1 Demonstrate knowledge of statistical terminology.
1.2 Determine data type and measurement level of each variable.
1.3 Explain the difference between an observational study and an experimental study.
2. Will be able to explain the purpose of descriptive statistics in making data more understandable. 10, 16, 6, 9A
2.1 Summarize qualitative data by using frequency distributions, bar charts, and pie charts.
2.2 Summarize quantitative data by using frequency distributions, histograms, frequency polygons, and ogives.
2.3 Summarize data using measures of central tendency like mean, median, and mode.
2.4 Define data using measures of variability such as range, variance, and standard deviation.
3. Will be able to explain how to use relationship measures to describe and analyze relationships.10, 16, 6, 9A
3.1 Describe the relationship in two-variable tables using changes in conditional distribution.
3.2 Interpret scatterplots.
3.3 Interpret the covariance and correlation coefficient of a two-variable dataset.
3.4 Explain the concepts of total, explained, and unexplained variance.
4. Will be able to recall how to utilize of probability theory for decision making in uncertain situations.10, 16, 6, 9A
4.1 Calculate the probability of an event.
4.2. Calculate the probability of compound events.
4.3. Use basic counting rules for probability calculations.
5. Will be able to explain how the behaviour of a random variable is summarised through probability distributions.10, 16, 6, 9A
5.1 Explain the difference between discrete and continuous random variables.
5.2. Construct discrete probability distributions and computes means and standard deviations.
5.3 Describe the characteristics of the normal distribution.
6. Will be able to explain sampling procedures and sampling distributions10, 16, 6, 9A
6.1 Explain the concept of random sampling and selects random samples.
6.2 Describe and uses the sampling distribution of sample means.
6.3 Define and uses the central limit theorem.
7. Will be able to perform regression and correlation analysis. 10, 16, 6, 9A
7.1 Explains regression and correlation.
7.2 Conduct regression analysis.
7.3 Interpret correlation.
Teaching Methods:10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1General Concepts of Statistics
2Frequency Distrubutions and Graphs for Categorical Variables
3Frequency Distrubutions and Graphs for Numerical Variables
4Measures of Central Tendency
5Measures of Variability
6Chebyshev’s Theorem
7Measures of Skewness and Kurtosis
8Stem-and-Leaf Diagrams, Box Plots and Outlier Detection
9Measure of Association Between Two Variables: Covariance and Correlation
10Introduction to Probability, Basic Concepts and Discrete Probability Distributions
11Continuous Probability Distributions and Normal Distribution
12Sampling Distribution of the Sample Mean and Confidence Intervals
13Introduction to Regression Analysis
14Examples for Regression Analysis
Resources
Main Sources: [1] Statistics for Business and Economics, 14th edition, McClave, Benson, Sincich, Pearson, 2022. [2] Essentials Business Statistics, 5th Edition, Bruce L. Bowerman, Richard T.O’Connell, Emily S. Murphree, J. B. Orris, Mc Graw Hill Education, 2015. [3] Statistics for Business and Economics, 11th Edition, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, South-Western Cengage Learning, 2011.
Other recommended sources: [4] İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık, 2018 [5] Lecture Notes

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Defines the theoretical issues in the field of business administration
X
2
Describes the necessary qualitative and quantitative methods in the field of business and management.
X
3
Uses at least one computer program in the field of business and management
X
4
Sustains proficiency in a foreign language required for business and management.
5
Prepares managerial investment projects and work in a team.
X
6
Constantly renews himself / herself by following developments in business and management with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got.
7
Uses theoretical and practical expertise in the field of business administration
X
8
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication.
X
9
Adopts organizational / institutional and social ethical values.
10
Within the framework of service responsiveness, adopts social responsibility principles and takes initiative when necessary.
11
Uses and analyses basic facts and data in different disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies.
X
12
Uses and Analyses the fundamental and advanced techniques in the field to enhance business performance, productivity, sustainability,innovation and research, efficiency and effectiveness.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100

Numerical Data

Ekleme Tarihi: 09/10/2023 - 09:58Son Güncelleme Tarihi: 09/10/2023 - 10:00