Course Name Code Semester T+U Hours Credit ECTS
Applied Statistics EKO 104 2 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi SAYIN SAN
Course Lecturers Dr.Öğr.Üyesi SAYIN SAN,
Course Assistants
Course Category
Course Objective Students solve problems in economics and business-related statistical gives basic statistical information
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
1 She/he understands the purpose and importance of Statistics Lecture, Question-Answer, Drilland Practice, Testing, Homework, Project / Design,
2 She/He recognizes data obtained from a variety of topics, summaries, and visually describes Lecture, Question-Answer, Drilland Practice, Testing, Homework, Project / Design,
3 She/he analyzes the data obtained using the methods of the most suitable solutions Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework, Project / Design,
4 She/he makes data analyzes and comments about the current situation Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework, Project / Design,
5 She makes forecast and takes strategic decisions Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Sampling and Sampling Distribution of a Statistic
2 Ki square, t and F distributions
3 Ki square, t and F distributions
4 Properties of Point Estimation and Point Estimators
5 Properties of Point Estimation and Point Estimators
6 Interval Estimation and Confidence Interval Estimation
7 Interval Estimation and Confidence Interval Estimation
8 Statistical Parametric Hypothesis Testing
9 mid-term exam
10 Statistical Parametric Hypothesis Testing
11 Testing goodness of fit
12 Corelation
13 Two-Variable Linear Regression
14 Two-Variable Linear Regression
Resources
Course Notes Newbold, P. İstatistik, Literatür yayınları, 2006
Course Resources Panik, M. Advanced Statatistics from an Elemantary Point of View, Elsevier, 2005

Özkan, Yılmaz. Uygulamalı İstatistik 2, Sakarya Kitabevi, 2003
Order Program Outcomes Level of Contribution
1 2 3 4 5
1
2
3
4
5
6
7
8
9
10
11
12
Evaluation System
Semester Studies Contribution Rate
1. Ödev 13
2. Ödev 12
1. Ara Sınav 50
1. Kısa Sınav 25
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 3 3
Quiz 2 0 0
Assignment 6 3 18
Project / Design 1 14 14
Final examination 1 16 16
Total Workload 147
Total Workload / 25 (Hours) 5.88
dersAKTSKredisi 6