Course Name Code Semester T+U Hours Credit ECTS
Hypothesis Tests IKT 461 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Prof.Dr. MUSTAFA AKAL
Course Lecturers Prof.Dr. MUSTAFA AKAL,
Course Assistants Research Assistants
Course Category Available Basic Education in the Field
Course Objective This course aims students to gain hypothesis testing skills to establish statistical hypotheses appropriately to events of economics and business issues.
Course Content Normal distribution,sampling, data analysis, point estimation, interval estimation,hypothesis testing,correlation and regression,time series analysis and their applications in economics and business.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Introducing characteristics of the normal distribution Lecture, Question-Answer, Case Study, Self Study, Problem Solving, Testing, Homework,
2 Introducing sampling techniques Lecture, Question-Answer, Discussion, Case Study, Self Study, Problem Solving, Testing, Homework,
3 Making sampling distribution ve learning by solving examples Lecture, Question-Answer, Discussion, Case Study, Self Study, Problem Solving, Testing, Homework,
4 Making statistical estimation Lecture, Question-Answer, Discussion, Case Study, Self Study, Problem Solving, Testing, Homework,
5 Making statistical decision Lecture, Question-Answer, Discussion, Motivations to Show, Case Study, Self Study, Problem Solving, Testing, Homework,
6 Making small sample tests Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Case Study, Self Study, Problem Solving, Testing, Homework,
7 Providing test tools for managerial decisions Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Self Study, Problem Solving, Testing, Homework,
8 Knowing characteristics of the chi- square distribution Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Testing, Homework,
9 Making chi- square test applications Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Self Study, Problem Solving, Testing, Homework,
10 Knowing F distribution, testing ve applying Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Self Study, Problem Solving, Testing, Homework,
11 Making simple regression analysis, testing and applying Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Self Study, Problem Solving, Testing, Homework,
12 Making partial regression analysis, testing and applying Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Self Study, Problem Solving, Testing, Homework,
13 Recognizing time series and patterns Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Self Study, Problem Solving, Testing, Homework,
14 Making interpolation and exterpolation Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Self Study, Problem Solving, Testing, Homework,
15 Making mathematical expectations, correlation and regresion via moments. Lecture, Question-Answer, Discussion, Drilland Practice, Group Study, Case Study, Self Study, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Normal distribution
2 Sampling and sampling techniques
3 Sampling distribution
4 Statistical inferences
5 Statistical decision making
6 Statistical decision making, continuing
7 Theory of Small Sampling
8 Chi- Square distribution
9 Midterm examination
10 F statistics, distribution, proerties and variance analysis
11 Correlation and Regression
12 Correlation and Regression,continuing
13 Time series analsyis, tests and prediction
14 Mathematical expectations, correlation and regresion via moments.
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The students are gained the ability to look at the problems of daily life from a broader perspective. They gain the needed skills not only to understand the economic problems but also to construct a model and defend in meaningful way.
2 They have knowledge about the microeconomic theory.
3 They have knowledge about the macroeconomic theory.
4 They have knowledge about the international economic theory.
5 They have ability to use mathematical and statistical methods.
6 They have ability to utilize fundamental econometric theories to provide economic problems.
7 They are intended to be expert in one of non departmental fields that they choose from the list of marketing, management, human resources management, corporate finance, public administration, and tourism management.
8 They are intended to be expert in one of departmental fields that they choose from the list of public finance, agricultural, environmental, natural resources, labor economics, economics of industrial organization, economics of property rights, international finance, money and banking, economic growth and development.
9 They have necessary knowledge of law and related skills that needed in both public and private sector.
10 They have necessary accountancy skills that needed in both public and private sector.
11 They have written and oral communication skills in a foreign language as well as in their native language.
12 They know how to use computer programs in both daily office usage and statistical data evaluations.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Ödev 10
1. Kısa Sınav 10
2. Kısa Sınav 10
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 2 32
Mid-terms 1 14 14
Quiz 2 6 12
Assignment 1 5 5
Final examination 1 14 14
Total Workload 125
Total Workload / 25 (Hours) 5
dersAKTSKredisi 5