Course Name Code Semester T+U Hours Credit ECTS
Statistcs and Business Apllications YBS 202 4 3 + 0 3 6
 Precondition Courses Recommended Optional Courses Course Language Turkish Course Level Bachelor's Degree Course Type Compulsory Course Coordinator Doç.Dr. NİHAL SÜTÜTEMİZ Course Lecturers Doç.Dr. NİHAL SÜTÜTEMİZ, Course Assistants Course Category Course Objective The aim of this lecture is to learn the essential concepts of statistics and position of it in social sciences and information systems, to bring in basic capabilities to students, in the area of statistics, to model, solve and interpret the real time business problems Course Content Introduction to Statistics, Data Sampling, Descriptive and Inferential Statistics, Probability concepts and its position in statistics, discrete and continuous probability distribution, Statistical Inference, Hypothesis Testing, Variance Analysis, Regression, Correlation and Chi-Square Analysis, Statistical softwares (Excel and SPSS)
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understanding the aim, scope and importance of statistics Lecture, Question-Answer, Discussion, Brain Storming, Case Study, Testing, Homework,
2 Implementing data collection and sampling processes Lecture, Drilland Practice, Group Study, Case Study, Self Study, Testing, Homework,
3 Understanding the importance of Probability in the area of statistics Lecture, Question-Answer, Brain Storming, Case Study, Testing, Homework,
4 Interpreting the relationship between statistics and management science Lecture, Question-Answer, Discussion, Brain Storming, Case Study, Testing, Homework,
5 Learning the basic properties of statistical techniques for summarizing and visualizing the data Lecture, Drilland Practice, Group Study, Case Study, Self Study, Testing, Homework,
6 Choosing the suitable methods to different kind of variables Lecture, Drilland Practice, Group Study, Brain Storming, Case Study, Self Study, Testing, Homework,
7 Interpreting the statistical analysis solutions and turn them to decision in real time business environment Lecture, Question-Answer, Discussion, Drilland Practice, Group Study, Case Study, Self Study, Testing, Homework,
8 Learning the use of the statistical analysis software Lecture, Drilland Practice, Case Study, Project Based Learning, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to Statistics Lecture Notes / Anderson 1-29
2 Data Collection and Sampling Lecture Notes / Anderson 1-29
3 Descriptive Statistics ? Graphic and Tabular Techniques Lecture Notes / Anderson 30-88
4 Descriptive Statistics ? Numerical Techniques Lecture Notes / Anderson 89-154
5 Introduction to Probability Lecture Notes / Keller 175-236
6 Discrete Probability Distributions Lecture Notes / Keller 237-262
7 Continuous Probability Distributions Lecture Notes / Keller 263-306
8
9 Statistical Inference Lecture Notes / Keller 335-359
10 Hypothesis Testing Lecture Notes / Anderson 347-392
11 Variance Analysis Lecture Notes / Keller 525-596
12 Regression and Correlation Analysis Lecture Notes / Keller 633-729
13 Qualitative Data Analysis Lecture Notes / Keller 596-632
14 Non-Parametric Statistical Test Lecture Notes
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Can follow new and current technologies and evaluate them X
2 Can understand the operation of Corporate Information Systems and use these systems at a basic level X
3 Constructs numerical models of basic business problems. X
4 Solves modeled business problems with the help of information technologies and interprets the solutions X
5 Contributes to informatics oriented projects as a member of the team X
6 Effectively uses information technology tools that support teamwork in project management. X
7 Master basic business functions and information technologies and establishes the link between them X
8 Contributes to the design, development and implementation processes of corporate information systems. X
9 Can produce and present quality documentation for all kinds of projects, including entrepreneurship projects. X
10 Prepares informative, effective and interesting presentations and presents these presentations. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Ödev 40
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 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 1 10 10
Assignment 2 10 20
Final examination 1 15 15
Total Workload 167
Total Workload / 25 (Hours) 6.68
dersAKTSKredisi 6