Information Package / Course Catalogue
Applied Statistics in Biotechnology I
Course Code: ZBY607
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

To learn the analysis of scientific data with statistical methods in science.

Course Content

General statistical concept, Parametric analysis method, Parametric tests using SPSS in SPSS package program.

Name of Lecturer(s)
Learning Outcomes
1.Understands the basics of SPSS software
2.Understands the basics of SPSS software
3.Interprets the results of descriptive statistics
4.Recognizes parametric tests in general
5.Applies and interprets the 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 & Practice
SPSS introduction
Week 2 - Theoretical & Practice
SPSS data entry
Week 3 - Theoretical & Practice
Descriptive statistics
Week 4 - Theoretical & Practice
Parametric tests
Week 5 - Theoretical & Practice
Normal distribution test, homogeneity test
Week 6 - Theoretical & Practice
Comparison of two means, single sample t-test, independent t-test, paired t-test
Week 7 - Theoretical & Practice
Analysis of variance, ANOVA tests
Week 8 - Theoretical & Practice
Univariate tests, multivariate tests, multiple comparisons
Week 9 - Theoretical & Practice
Correlation analysis
Week 10 - Theoretical & Practice
Regression analysis
Week 11 - Theoretical & Practice
Preparation of visual presentations in SPSS program, graphical representations
Week 12 - Theoretical & Practice
Preparation of visual presentations in SPSS program, graphical representations
Week 13 - Theoretical & Practice
Preparation of visual presentations in SPSS program, graphical representations
Week 14 - Theoretical & Practice
General evaluation
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1463126
Lecture - Practice142142
Midterm Examination1819
Final Examination120121
TOTAL WORKLOAD (hours)198
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
OÇ-1
5
3
3
3
3
OÇ-2
3
3
3
3
3
OÇ-3
3
3
4
4
4
OÇ-4
3
4
4
4
4
OÇ-5
3
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026