Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
9104035372011Statistical Analysis and Their Interpretations in Aquatic Sciences I Elective117
Level of Course Unit
Second Cycle
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.
Name of Lecturer(s)
Dr.Hülya SAYGI
Learning Outcomes
1The data obtained will have general information on how to understand
2Measurements of fish in aquaculture to reveal what kind of relationship the application of experimental design necessary to know
3Sampling methods used in which situations might not know which
4Suitability of data for statistical tests to test hypotheses
5Non-parametric tests which are able to make and implement
6How to gather statistical data to provide information on
7To make the application of parametric tests
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
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.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction to statistical analysisExamination of the statistical study of aquatic products
2Sampling and sampling methodsFisheries sampling methods used in the investigation of Products
3SPSS program to edit and display the dataOrganization and interpretation of data relating to the work
4Descriptive statistics are used in aquacultureExamination of examples of the descriptive statistics by SPSS
5Determination of hypothesis testing, parametric hypothesis testing hypothesest-test and z test samples related to studies performed by SPSS
6Nonparametric hypothesis testingChi-square test, Runs test, Mann-Whitney U test, Wilcoxon sign test, Kruskal-Wallis test, concerning the application made by SPSS
7MID-TERM EXAM
8Correlation and Regression AnalysisPearson correlation coefficient, partial correlation coefficient, SPSS the application of the criteria, no other relations, the preparation of term papers
9Analysis of varianceOne-way, two-way ANOVA, one-sided, two-way analysis on samples MANOVA'nın, Term Paper Preparation
10Analysis of covarianceANCOVA analysis on the samples, the preparation of term papers
11Introduction to multivariate statistical techniquesMultivariate statistical tests to determine by SPSS, the preparation of term papers
12Logistic and probit regression modelLogit and probit models are obtained by the SPSS, the preparation of term papers
13Term Paper PresentationsTerm Paper Presentations
14Term Paper PresentationsTerm Paper Presentations
15Term Paper PresentationsTerm Paper Presentations
16FINAL EXAM
Recommended or Required Reading
Elbek, A.G., Oktay, E., ve Saygı, H., 2008, Su Ürünlerinde Temel İstatistik, Ege Üniveristesi, Su Ürünleri Fakültesi Yayınları, Su Ürünleri Fakültesi Yayın No: 19, Ders Kitabı Dizin No: 6, 5. Baskı. Kalaycı, Ş., 2008, SPSS, Uygulamalı Çok Değişkenli İstatistik Teknikleri, Asil Yayın Dağıtım Ltd. Şti, Ankara.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination11010
Final Examination11010
Attending Lectures14228
Practice14228
Individual Study for Homework Problems10220
Reading14570
Performance13030
TOTAL WORKLOAD (hours)196
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
LO14445115
LO24444455
LO34441115
LO44445155
LO54114115
LO65555115
LO74144115
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr