## Applied Statistics(Mİ501)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
Mİ501 Applied Statistics 1 3 0 0 3 6
 Language of Instruction Turkish Course Type Elective Course Level Masters Degree Course Instructor(s) AHMET FAHRİ NEGÜS afneg5932@gmail.com (Email) Assistant Objective The objective of this course is to familiarize students with basic concepts and tools of statistical methodology Content Week 1. Introduction to StatisticsWeek 2. Statistical series Week 3. Graphs to describe numerical variablesWeek 4. Measures of central tendencyWeek 5. Measures of variabilityWeek 6.Probability and its postulatesWeek 7. Probability RulesWeek 8. Bayes theoremWeek 9. Random variables, mathematical expectation, variance and standard deviation Week 10.Discrete and continuous random variables and probability distributions Week 11. Hypergeometric distribution, Binomial distributionWeek 12. The poisson probability distribution, the normal distributionWeek 13.Analyse of varianceWeek 14. Analyse of Regression Course Learning Outcomes This course will provide to;1. Have knowledge of the fundamental tools of statistics2. Have knowledge of Probability3. Have knowledge of Statistical series, distribution function and measures of central tendency4. Be able to realize statistical analysis Teaching and Learning Methods theory and practic References Bernard Grais, “Statistique descriptive”,3eme edition, Dunod, Paris 1994Paul Newbold, William L.Carlson, Betty Thorne, “Statistics for Business and Economics”, 6th edition, Prentice Hall, Upper Saddle River, New Jersey, 2007Roger C. Pfaffenberger, James H. Patterson, “Statistical Methods for Business and Economics”, Irwin 2003Business Communication Today
###### Theory Topics
Week Weekly Contents
1 Introduction to Statistics
2 Statistical series
3 Graphs to describe numerical variables
4 Measures of central tendency
5 Measures of variability
6 Probability and its postulates
7 Probability Rules
8 Bayes theorem
9 Random variables, mathematical expectation, variance and standard deviation
10 Discrete and continuous random variables and probability distributions
11 Hypergeometric distribution, Binomial distribution
12 The poisson probability distribution, the normal distribution
13 Analyse of variance
14 Analyse of Regression
###### Practice Topics
Week Weekly Contents
1 Analyse of Regression
2 Statistical series
3 Graphs to describe numerical variables
4 Measures of central tendency
5 Measures of variability
6 Probability and its postulates
7 Probability Rules
8 Bayes theorem
9 Random variables, mathematical expectation, variance and standard deviation
10 Discrete and continuous random variables and probability distributions
11 Hypergeometric distribution, Binomial distribution
12 The poisson probability distribution, the normal distribution
13 Analyse of variance
14 Analyse of Regression
Number Contribution
Contribution of in-term studies to overall grade 2 50
Contribution of final exam to overall grade 1 50
Toplam 3 100
###### In-Term Studies
Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 2 50
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 2 50
No Program Learning Outcomes Contribution
1 2 3 4 5
1 The student will be able to use the knowledge and skills needed for upper echelons of management. X
2 The student will be able to identify the behaviors to minimize the risks by taking into account internal and external conditions that effect the organization. X
3 The student should have the general knowledge about labor law, sociology, psychology, organizational sociology, logistics and quantitative methods that can be needed out of basic management functions. X
4 The student should have a command of information and communication technologies that are needed for professional business life. X
5 The student should keep the competitive power of business at higher levels in the increasing globalization and competition conditions with following visionary applications. X
6 The student will be able to identify the changes that are in the internal and external environment of business and the problems which are caused by these changes in time. Also, the student should improve solutions for these problems and apply them. X
7 The student will be able to generate the solutions for managerial problems with the help of management games and simulation techniques. X
8 The student should make presentations and discuss managerial problems at least two foreign languages. X
9 The student will be able to tend towards practices of case study and sample event assessment and contribute the projects in which he/she serves. X
10 The student should get the responsibility in teamwork and contribute to team work. X
11 The student should get the habit of updating his technical skills to adjust the changing and improving scientific and technologic environment. X
12 The student should make a principle of behaving ethical in business life and guarding the interests of his colleagues and business stakeholders. X
Class Hours 14 3 42
Working Hours out of Class 14 3 42
Assignments 1 30 30
Presentation 0 0 0
Midterm Examinations (including preparation) 1 20 20
Project 0 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 0 0 0
Quiz 0 0 0
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 1 2 2