Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
3STAT 101Statistics2+2+03509.10.2023
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program BA Program in Economics
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course
Obtaining information from data using concepts related to statistics, probability theory and data analysis.
Course Content
Using statistical tools in the solution of management and economic problems with basic statistical models
Course Methods and Techniques Basic Statistical Methods
Descriptive Statistics
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Murat GÜVEN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Textbook (mandatory): Statistics for Business and Economics (8th Edition) by Paul Newbold, William Carlson, and Betty Thorne .
Additional reference (optional): Business Statistics in Practice (7th Edition) by Bruce Bowerman, Richard O'Connell, and Emilly Murphree
Course Notes • [STBE]: Statistical Techniques in Business & Economics (2020), 18th Edition by Douglas A. Lind, William G. Marchal and Samuel A. Wathen. The McGraw-Hill Irwin.
• [SBE]: Statistics for Business and Economics, Global (8th) Edition by Paul Newbold, William L. Carlson and Betty M. Thorne. Pearson Education Limited
• [CN]: Class Notes and Handouts
Documents Textbook (mandatory): Statistics for Business and Economics (8th Edition) by Paul Newbold, William Carlson, and Betty Thorne . Additional reference (optional): Business Statistics in Practice (7th Edition) by Bruce Bowerman, Richard O'Connell, and Emilly Murphree

Course Category
Mathematics and Basic Sciences %80
Social Sciences %20

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 % 30
Quizzes 1 % 20
Final examination 1 % 50
Total
3
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 5 70
Mid-terms 1 5 5
Practice 14 2 28
Final examination 1 5 5
Total Work Load   Number of ECTS Credits 5 150

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Competency to use basic statistical models, and usage of statistical tools in solving management and economic problems
2 İleri düzey istatistik ve ekonometri konularını anlayabilme
3 Yöntemleri kullanarak politika geliştirebilme

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Syllabus review Using Graphical Measures to Describe Data I not required slide
2 Using Graphical Measures to Describe Data I not required slide
3 Using Graphical Measures to Describe Data II not required slide
4 Elements of Chance: Probability Methods I not required slide
5 Elements of Chance: Probability Methods I not required slide
6 Discrete Probability Distributions not required slide
7 Midterm Exam not required slide
8 Continuous Probability Distributions I not required slide
9 Continuous Probability Distributions II not required slide
10 Distributions of Sample Statistics not required slide
11 Confidence Interval Estimation I not required slide
12 Confidence Interval Estimation II not required slide
13 Hypothesis Tests of a Single Population and Two Populations not required slide
14 Two Variable Regression Analysis not required slide

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 5 5 5 5 4 4
C1 4 5 5 5 5 4
C2 5 5 5 5 4 4
C3 5 5 5 4 4

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant