Information Package / Course Catalogue
Applied Statistics in Biotechnology II
Course Code: ZBY606
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

Teaching non-parametric tests using SPSS software

Course Content

Using non-parametric analyzes in SPSS software

Name of Lecturer(s)
Learning Outcomes
1.Understands the basics of SPSS software
2.Knows how to encode data into SPSS software
3.Interprets the results of descriptive statistics
4.Recognizes non-parametric tests in general
5.Applies and interprets the non-parametric test appropriate to the available data
Recommended or Required Reading
1.Statistical Data Analysis with Package Programs
2.Lecture notes.
Weekly Detailed Course Contents
Week 1 - Theoretical
SPSS introduction
Week 2 - Theoretical
SPSS data entry
Week 3 - Theoretical
Descriptive statistics
Week 4 - Theoretical
Non-Parametric tests
Week 5 - Theoretical
Chi-Square test
Week 6 - Theoretical
Mann Witney U testa
Week 7 - Theoretical
Kruskall_Wallis test
Week 8 - Theoretical
Wilcoxon Matched-Pair Signed Ranks Test
Week 9 - Theoretical
Friedman test
Week 10 - Theoretical
McNemar test
Week 11 - Theoretical
Discriminant analysis
Week 12 - Theoretical
Preparation of visual presentations in SPSS program, graphical representations
Week 13 - Theoretical
Preparation of visual presentations in SPSS program, graphical representations
Week 14 - Theoretical
Statistical errors in biotechnology experiments
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1463126
Lecture - Practice142142
Midterm Examination110111
Final Examination120121
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
OÇ-1
3
3
4
4
4
OÇ-2
3
3
4
4
4
OÇ-3
3
4
4
5
4
OÇ-4
3
4
4
4
4
OÇ-5
4
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026