ISB363 Statistisal Tests

3 ECTS - 2-0 Duration (T+A)- 5. Semester- 2 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB363
Name Statistisal Tests
Term 2020-2021 Academic Year
Semester 5. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Uzaktan Öğretim
Catalog Information Coordinator Doç. Dr. SELMA TOKER KUTAY
Course Instructor Doç. Dr. SELMA TOKER KUTAY (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

to apply and interpret parametric and non-parametric statistical tests

Course Content

Statistical basic concepts, parametric test , multivariate one-way analysis of variance , the test homogeneity of variance, using tests when variances heterogeneous, multiple comparisons test, multiple comparisons test when variances heterogeneous , tests related to outliers, tests for normality, the test of Regression and Correlation, nonparametric test

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Uses statistical basic concepts
LO02 Makes parametric test
LO03 Makes multivariate one-way analysis of variance
LO04 Makes the test homogeneity of variance
LO05 knows using tests when variances heterogeneous
LO06 Makes multiple comparisons test
LO07 Makes multiple comparisons test when variances heterogeneous
LO08 Makes tests related to outliers
LO09 Makes tests for normality
LO10 Apply the test of Regression and Correlation
LO11 Makes nonparametric test


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 4
PLO02 - Emphasize the importance of Statistics in life 5
PLO03 - Define basic principles and concepts in the field of Law and Economics 0
PLO04 - Produce numeric and statistical solutions in order to overcome the problems 4
PLO05 - Use proper methods and techniques to gather and/or to arrange the data 5
PLO06 - Utilize computer systems and softwares 4
PLO07 - Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 3
PLO08 - Apply the statistical analyze methods 5
PLO09 - Make statistical inference(estimation, hypothesis tests etc.) 5
PLO10 - Generate solutions for the problems in other disciplines by using statistical techniques 5
PLO11 - Discover the visual, database and web programming techniques and posses the ability of writing programme 0
PLO12 - Construct a model and analyze it by using statistical packages 4
PLO13 - Distinguish the difference between the statistical methods 4
PLO14 - Be aware of the interaction between the disciplines related to statistics 5
PLO15 - Make oral and visual presentation for the results of statistical methods 5
PLO16 - Have capability on effective and productive work in a group and individually 4
PLO17 - Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 1
PLO18 - Develop scientific and ethical values in the fields of statistics-and scientific data collection 5


Week Plan

Week Topic Preparation Methods
1 Statistical basic concepts Source reading
2 Parametric test Source reading
3 Parametric test Source reading
4 multivariate one-way analysis of variance Source reading
5 the test homogeneity of variance Source reading
6 tests when variances heterogeneous Source reading
7 tests when variances heterogeneous Source reading
8 Mid-Term Exam Review the topics discussed in the lecture notes and sources
9 multiple comparisons test Source reading
10 multiple comparisons test when variances heterogeneous Source reading
11 multiple comparisons test when variances heterogeneous Source reading
12 tests related to outliers Source reading
13 tests for normality Source reading
14 the test of Regression and Correlation Source reading
15 nonparametric test Source reading
16 Term Exams Review the topics discussed in the lecture notes and sources
17 Term Exams Review the topics discussed in the lecture notes and sources


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 16 16
Total Workload (Hour) 78
Total Workload / 25 (h) 3,12
ECTS 3 ECTS

Update Time: 29.04.2025 02:18