Information Package / Course Catalogue
Statistical Analysis and Their Interpretations in Aquatic Sciences
Course Code: ZSU502
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

The aim of this course, undergraduate course in statistics that have been seen using the SPSS package program, basic and multivariate statistical techniques to interpret the results and helping to implement.

Course Content

Aquaculture in the work of data sampling method how to obtain, the data obtained from the parametric, nonparametric and multivariate statistical techniques, regression and correlation analysis using SPSS package program with the help analyze and interpret the means.

Name of Lecturer(s)
Assoc. Prof. Mehmet GÜLER
Learning Outcomes
1.The data obtained will have general information on how to understand
2.Measurements of fish in aquaculture to reveal what kind of relationship the application of experimental design necessary to know
3.Sampling methods used in which situations might not know which
4.Suitability of data for statistical tests to test hypotheses
5.To be able to make basic statistical applications by using computer programs
Recommended or Required Reading
1.Biyoistatistik, 3. Baskı, Hatiboğlu yayınevi
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to statistical analysis
Week 1 - Practice
Introduction to statistical analysis
Week 2 - Theoretical
Sampling and sampling methods
Week 2 - Practice
Sampling and sampling methods
Week 3 - Theoretical
SPSS program to edit and display the data
Week 3 - Practice
SPSS program to edit and display the data
Week 4 - Theoretical
Descriptive statistics are used in aquaculture
Week 5 - Theoretical
Determination of hypothesis testing, parametric hypothesis testing hypotheses
Week 6 - Theoretical
Nonparametric hypothesis testing
Week 7 - Theoretical
Nonparametric hypothesis testing
Week 8 - Theoretical
Correlation and Regression Analysis
Week 9 - Theoretical
Analysis of variance
Week 10 - Theoretical
Analysis of covariance
Week 11 - Theoretical
Introduction to multivariate statistical techniques
Week 12 - Theoretical
Logistic and probit regression model
Week 13 - Theoretical
Term Paper Presentations
Week 14 - Theoretical
Term Paper Presentations
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory144284
Lecture - Practice141242
Term Project220142
Midterm Examination115116
Final Examination115116
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
5
5
5
5
OÇ-2
3
4
4
4
OÇ-3
4
4
4
4
OÇ-4
3
4
4
4
OÇ-5
3
3
3
4
Adnan Menderes University - Information Package / Course Catalogue
2026