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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
STATISTICS IULY2134110Fall Semester3+035
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Mutlu GÜRSOY
Name of Lecturer(s)Assist.Prof. Mutlu GÜRSOY
Assistant(s)
AimStudents are aimed to understand the logic of research study and the importance of statistical analysis in a research study, and to gain an ability about gathering, summarizing and presentation of information.
Course ContentThis course contains; Introduction to Statistics - Basic Concepts
,Organizing Data – Frequency Distributions and Graphs for Nominal and Ordinal Variables
,Organizing Data – Frequency Distributions and Graphs for Interval and Ratio Variables
,Measures of Central Tendency
,Measures of Variability
,Measures of Distribution Shape, Relative Location, and Detecting Outliers
,Measure of Association Between Two Variables - Covariance and Correlation
,Introduction to Probability - Basic Concepts,Discrete Probability Distributions
,Continuous Probability Distributions
,Sampling and Sampling Distributions, Selecting of a Sample, Point Estimation
,Sampling Distribution of the Sample Mean and Proportion,Confidence Intervals
,Confidence Intervals for a Population Proportion
.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Will be able to describe the limited but crucial role of statistics in social research 16, 6, 9A
1.1 Differentiate between the two branches of statistics
1.2 Identify types of data and the measurement level for each variable
1.3 Explain the difference between an observational and an experimental study
2. Will be able to explain the purpose of descriptive statistics in making data comprehensible 16, 6, 9A
2.1 Summarize qualitative and quantitative data by using frequency distributions, bar charts, pie charts, and histograms
2.2 Summarize data, using measures of central tendency, such as the mean, median, and mode
2.3 Describe data, using measures of variation, such as the range, variance, and standard deviation
3. Will be able to explain how we can use measures of association to describe and analyze the importance of relationships 16, 6, 9A
3.1 Define association in the context of bivariate tables and in terms of changing conditional distributions
3.2 Interpret a scattergram
3.3 Interpret covariance and correlation coefficient of a bivariate data set
4. Will be able to recall know how to make use of probability theory to help make decisions in situations of uncertainty 16, 6, 9A
4.1 Calculate the probability of an event using classical probability or empirical probability
4.2 Find the probability of compound events, using the addition and multiplication rules
4.3 Find the conditional probability of an event
5. Will be able to tell how the behaviour of a random variable can often be summarised by a probability distribution 16, 6, 9A
5.1 Explain the difference between a discrete random variable and a continuous random variable
5.2 Express areas under the curve in terms of probabilities
5.3 Recognise the most common probability distributions and be aware of their uses
6. Will be able to explain sampling procedures and sampling distributions 16, 6, 9A
6.1 Explain the concept of random sampling
6.2 Use the sampling distribution of the sample mean
6.3 Explain the Central Limit Theorem
7. Will be able to explain the logic of estimation and the role of the sample, sampling distribution, and population 16, 6, 9A
7.1 Calculate a z-based confidence interval for a population mean
7.2 Use the t table
7.3 Calculate a t-based confidence interval for a population mean
Teaching Methods:16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Statistics - Basic Concepts
The relevant section will be read from the book.
2Organizing Data – Frequency Distributions and Graphs for Nominal and Ordinal Variables
The relevant section will be read from the book.
3Organizing Data – Frequency Distributions and Graphs for Interval and Ratio Variables
The relevant section will be read from the book.
4Measures of Central Tendency
The relevant section will be read from the book.
5Measures of Variability
The relevant section will be read from the book.
6Measures of Distribution Shape, Relative Location, and Detecting Outliers
The relevant section will be read from the book.
7Measure of Association Between Two Variables - Covariance and Correlation
The relevant section will be read from the book.
8Introduction to Probability - Basic ConceptsThe relevant section will be read from the book.
9Discrete Probability Distributions
The relevant section will be read from the book.
10Continuous Probability Distributions
The relevant section will be read from the book.
11Sampling and Sampling Distributions, Selecting of a Sample, Point Estimation
The relevant section will be read from the book.
12Sampling Distribution of the Sample Mean and ProportionThe relevant section will be read from the book.
13Confidence Intervals
The relevant section will be read from the book.
14Confidence Intervals for a Population Proportion
The relevant section will be read from the book.
Resources
[1] will be available at http://mebis.medipol.edu.tr.
[2] Bruce L. Bowerman, Richard T. O'Connell, Emily S. Murphree, James B. Orris (2013), İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık [3] David R. Anderson, Dennis J. Sweeney, Thomas A. Williams (2011), Statistics for Business and Economics, Eleventh Edition, South-Western Cengage Learning

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Uluslararası lojistik ve tedarik zinciri yönetimi alanında teorik bilgileri tanımlar.
2
Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli matematiksel ve istatistiki yöntemleri anlatır.
X
3
Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli en az bir bilgisayar programını kullanır.
X
4
Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli olan mesleki yabancı dil yeterliliğini gösterir.
5
Alanına dair projeler hazırlar ve takım çalışmalarını yönetir.
X
6
Mesleki alanda yaşam boyu öğrenmenin bilinciyle uluslararası lojistik ve tedarik zinciri yönetimi alanında gelişmeleri izleyerek kendini sürekli yenileyip edindiği bilgi ve becerileri eleştirel olarak değerlendirir.
7
Uluslararası lojistik ve tedarik zinciri yönetimi alanında teorik ve uygulamaya yönelik bilgileri kullanır.
8
En az A1 düzeyinde bir yabancı dili kullanarak güncel teknolojileri takip eder, sözlü/yazılı iletişim kurar.
9
Örgüt/kurumsal, iş ve toplumsal etik değerlerini benimser ve kullanır.
10
Topluma hizmet duyarlılığı çerçevesinde, sosyal sorumluluk ilkelerini benimser ve gerektiğinde inisiyatif alır.
11
Disiplinler arası çalışmalar yürütebilmek için farklı disiplinlerde temel bilgileri ve verileri analiz ederek alanında kullanır.
X
12
Uluslararası lojistik ve tedarik zinciri yönetimi sektörlerindeki sorunlar karşısında hem mikro hem makro çerçevede uygun öneriler sunar.

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 IULY2134110Fall Semester3+035
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Mutlu GÜRSOY
Name of Lecturer(s)Assist.Prof. Mutlu GÜRSOY
Assistant(s)
AimStudents are aimed to understand the logic of research study and the importance of statistical analysis in a research study, and to gain an ability about gathering, summarizing and presentation of information.
Course ContentThis course contains; Introduction to Statistics - Basic Concepts
,Organizing Data – Frequency Distributions and Graphs for Nominal and Ordinal Variables
,Organizing Data – Frequency Distributions and Graphs for Interval and Ratio Variables
,Measures of Central Tendency
,Measures of Variability
,Measures of Distribution Shape, Relative Location, and Detecting Outliers
,Measure of Association Between Two Variables - Covariance and Correlation
,Introduction to Probability - Basic Concepts,Discrete Probability Distributions
,Continuous Probability Distributions
,Sampling and Sampling Distributions, Selecting of a Sample, Point Estimation
,Sampling Distribution of the Sample Mean and Proportion,Confidence Intervals
,Confidence Intervals for a Population Proportion
.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Will be able to describe the limited but crucial role of statistics in social research 16, 6, 9A
1.1 Differentiate between the two branches of statistics
1.2 Identify types of data and the measurement level for each variable
1.3 Explain the difference between an observational and an experimental study
2. Will be able to explain the purpose of descriptive statistics in making data comprehensible 16, 6, 9A
2.1 Summarize qualitative and quantitative data by using frequency distributions, bar charts, pie charts, and histograms
2.2 Summarize data, using measures of central tendency, such as the mean, median, and mode
2.3 Describe data, using measures of variation, such as the range, variance, and standard deviation
3. Will be able to explain how we can use measures of association to describe and analyze the importance of relationships 16, 6, 9A
3.1 Define association in the context of bivariate tables and in terms of changing conditional distributions
3.2 Interpret a scattergram
3.3 Interpret covariance and correlation coefficient of a bivariate data set
4. Will be able to recall know how to make use of probability theory to help make decisions in situations of uncertainty 16, 6, 9A
4.1 Calculate the probability of an event using classical probability or empirical probability
4.2 Find the probability of compound events, using the addition and multiplication rules
4.3 Find the conditional probability of an event
5. Will be able to tell how the behaviour of a random variable can often be summarised by a probability distribution 16, 6, 9A
5.1 Explain the difference between a discrete random variable and a continuous random variable
5.2 Express areas under the curve in terms of probabilities
5.3 Recognise the most common probability distributions and be aware of their uses
6. Will be able to explain sampling procedures and sampling distributions 16, 6, 9A
6.1 Explain the concept of random sampling
6.2 Use the sampling distribution of the sample mean
6.3 Explain the Central Limit Theorem
7. Will be able to explain the logic of estimation and the role of the sample, sampling distribution, and population 16, 6, 9A
7.1 Calculate a z-based confidence interval for a population mean
7.2 Use the t table
7.3 Calculate a t-based confidence interval for a population mean
Teaching Methods:16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Statistics - Basic Concepts
The relevant section will be read from the book.
2Organizing Data – Frequency Distributions and Graphs for Nominal and Ordinal Variables
The relevant section will be read from the book.
3Organizing Data – Frequency Distributions and Graphs for Interval and Ratio Variables
The relevant section will be read from the book.
4Measures of Central Tendency
The relevant section will be read from the book.
5Measures of Variability
The relevant section will be read from the book.
6Measures of Distribution Shape, Relative Location, and Detecting Outliers
The relevant section will be read from the book.
7Measure of Association Between Two Variables - Covariance and Correlation
The relevant section will be read from the book.
8Introduction to Probability - Basic ConceptsThe relevant section will be read from the book.
9Discrete Probability Distributions
The relevant section will be read from the book.
10Continuous Probability Distributions
The relevant section will be read from the book.
11Sampling and Sampling Distributions, Selecting of a Sample, Point Estimation
The relevant section will be read from the book.
12Sampling Distribution of the Sample Mean and ProportionThe relevant section will be read from the book.
13Confidence Intervals
The relevant section will be read from the book.
14Confidence Intervals for a Population Proportion
The relevant section will be read from the book.
Resources
[1] will be available at http://mebis.medipol.edu.tr.
[2] Bruce L. Bowerman, Richard T. O'Connell, Emily S. Murphree, James B. Orris (2013), İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık [3] David R. Anderson, Dennis J. Sweeney, Thomas A. Williams (2011), Statistics for Business and Economics, Eleventh Edition, South-Western Cengage Learning

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Uluslararası lojistik ve tedarik zinciri yönetimi alanında teorik bilgileri tanımlar.
2
Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli matematiksel ve istatistiki yöntemleri anlatır.
X
3
Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli en az bir bilgisayar programını kullanır.
X
4
Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli olan mesleki yabancı dil yeterliliğini gösterir.
5
Alanına dair projeler hazırlar ve takım çalışmalarını yönetir.
X
6
Mesleki alanda yaşam boyu öğrenmenin bilinciyle uluslararası lojistik ve tedarik zinciri yönetimi alanında gelişmeleri izleyerek kendini sürekli yenileyip edindiği bilgi ve becerileri eleştirel olarak değerlendirir.
7
Uluslararası lojistik ve tedarik zinciri yönetimi alanında teorik ve uygulamaya yönelik bilgileri kullanır.
8
En az A1 düzeyinde bir yabancı dili kullanarak güncel teknolojileri takip eder, sözlü/yazılı iletişim kurar.
9
Örgüt/kurumsal, iş ve toplumsal etik değerlerini benimser ve kullanır.
10
Topluma hizmet duyarlılığı çerçevesinde, sosyal sorumluluk ilkelerini benimser ve gerektiğinde inisiyatif alır.
11
Disiplinler arası çalışmalar yürütebilmek için farklı disiplinlerde temel bilgileri ve verileri analiz ederek alanında kullanır.
X
12
Uluslararası lojistik ve tedarik zinciri yönetimi sektörlerindeki sorunlar karşısında hem mikro hem makro çerçevede uygun öneriler sunar.

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 - 10:08Son Güncelleme Tarihi: 09/10/2023 - 10:09