Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
4END222Statistical Analysis2+2+035

Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Industrial Engineering
Mode of Delivery Face to Face
Type of Course Unit Compulsory
Objectives of the Course Demonstration of the basic statistical techniques that will enable the students to have more detailed information about the statistical applications.
Course Content Obtaining information about inferential statistics
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof. Merve Doğruel Anuşlu
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Inferential Statistics, Necmi Gürsakal All Inferential Statistics books
Sampling Methods and Hypothesis Testing, Neyran Orhunbilge
WALPOLE R.E., MYERS R.H., MYERS S.L. YE K.E., Probability and Statistics for Engineers and Scientists, 9th Edition, Prentice Hall, 2011.
Örnekleme Yöntemleri ve Hipotez Testleri, Neyran Orhunbilge

Course Category
Mathematics and Basic Sciences %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 2 28
Hours for off-the-c.r.stud 14 2 28
Mid-terms 1 2 2
Practice 1 2 2
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 2 62

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 İş hayatında büyük ölçüde yararlanılan istatistiksel teknikleri kullanmak
2 Öğrenci hipotez ve tahminleme konularında temel konuları öğrenir
3 Sayısal analiz becerisi kazanmak
4 Elde edilen sonuçları yorumlamak


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Course Description and Importance Course Notes
2 Editing Information by Computer Programs (Series and Tables) and Graphic Drawing and Application of Definitive Statistical Measures Course Notes
3 Sampling Theory and Basic Concepts, Sampling Error, Objectives of Sampling, Causes of Sampling and Stages of Sampling Process Course Notes
4 Estimation of Interval and Total Value of Quantitative Average Course Notes
5 Range Estimation of Population Rate Course Notes
6 Determination of Sample Size, Estimation of Population Variance and Hypothesis Tests and Phases Course Notes
7 Single Average Tests Course Notes
8 EXAM Course Notes
9 Tests Between Two Average (Independent and Dependent) Course Notes
10 Tests of the Difference Between More Than Two - One-Way Analysis of Variance Course Notes
11 Tests of Difference Between Single Odds and Two Odds Course Notes
12 Variance Tests Course Notes
13 Chi-Square Independence and Homogeneity Tests; Chi-Square Conformity and Ratio Tests Course Notes
14 Regression and SPSS Packet Program Course Notes


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
C1
C2 2
C3 1
C4 1 3

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https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=205003&curProgID=5582&lang=en