| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Statistical Methods Used in Biological Research | BIO618 | 4 + 0 | 4.0 | 6.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Graduate |
| Course Type | |
| Mode of delivery | Face to face |
| Course Coordinator |
Assoc. Prof. Dr. Salih Tunç KAYA |
| Instructors | |
| Assistants | |
| Goals | To provide information about control measures used in Biological Sciences |
| Course Content | Comparing tests with sample problems and teaching which tests can be applied to which types of data; Descriptive Statistics, Inferential Statistics and Some Statistical Terms; Descriptive statistics (arithmetic mean, standard deviation, standard error, median, minimum and maximum value) calculations; Introduction of Excel program and its use in descriptive statistics; Introduction of SPSS programs and its use in descriptive statistics; Data types, obtaining, extracting summary data, presenting and interpreting data in Tables and Graphs, introducing tests; Hypotheses, interpretation and statistical decision making, Type I and Type II errors; Chi-square test, its construction and interpretation, regression analysis and interpretation of correlation coefficient; Calculation of dependent and independent sample and t-test, conducting t-test with package programs and interpreting the results; One-way variance analysis and its application with the help of package programs and interpretation of the results; Application of double and multi-way analysis of variance with the help of package programs and interpretation of the results; Kruskal-Wallis Variance Analysis and its application with the help of package programs and interpretation of the results; Mann-Whitney U Test and their application with the help of package programs and interpretation of the results; Comparing tests with sample problems and teaching which tests can be applied to which types of data; Preparing a scientific research project draft, writing a report and applying statistical tests |
| Learning Outcomes |
- Describes data used in biological research - Explains concepts related to statistics - Explains Sampling and Sampling distributions - Explains hypothesis testing |
| Week | Topics | Learning Methods |
|---|---|---|
| 0. Week | Comparing tests with sample problems and teaching which tests can be applied to which types of data | Course Hours Practice Visual Presentation |
| 1. Week | Descriptive Statistics, Inferential Statistics and Some Statistical Terms | Visual Presentation Research Practice Course Hours |
| 2. Week | Descriptive statistics (arithmetic mean, standard deviation, standard error, median, minimum and maximum value) calculations | Research Visual Presentation Practice Course Hours |
| 3. Week | Introduction to Excel program and its use in descriptive statistics | Visual Presentation Practice Course Hours |
| 4. Week | Introducing SPSS programs and its usage in descriptive statistics | Visual Presentation Course Hours Practice |
| 5. Week | Data types, obtaining, extracting summary data, presenting and interpreting data in Tables and Graphs, introducing tests. | Course Hours Visual Presentation Practice |
| 6. Week | Hypotheses, interpretation and statistical decision making, Type I and Type II errors | Course Hours Visual Presentation Practice |
| 7. Week | Chi-square test, its construction and interpretation, regression analysis and interpretation of correlation coefficient | Visual Presentation Course Hours Practice |
| 8. Week | Calculation of dependent and independent sample and t-test, conducting t-test with package programs and interpreting the results / Mid Term | Course Hours Visual Presentation Practice |
| 9. Week | One-way variance analysis and its application with the help of package programs and interpretation of the result | Course Hours Visual Presentation Practice |
| 10. Week | Two- and multi-way analysis of variance and its application with the help of package programs and interpretation of the results | Course Hours Visual Presentation Practice |
| 11. Week | Kruskal-Wallis Variance Analysis and its application with the help of package programs and interpretation of the results | Practice Course Hours Visual Presentation |
| 12. Week | Mann-Whitney U Test and its application with the help of package programs and interpretation of the results | Practice Course Hours Visual Presentation |
| 13. Week | Comparing tests with sample problems and teaching which tests can be applied to which types of data | Visual Presentation Course Hours Practice |
| 14. Week | Preparing a scientific research project draft, writing a report and applying statistical tests | Visual Presentation Practice Course Hours |
| SPSS Applied Statistical Techniques, ISBN: 9789750227950 |
| Statistics, ISBN: 9786053208150 |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | Measurement Method |
|---|---|---|---|---|---|---|
| PY1 | 5 | 0 | 0 | 0 | 0 | 40,60 |
| PY2 | 5 | 0 | 0 | 0 | 0 | 40,60 |
| PY3 | 4 | 0 | 0 | 0 | 0 | 40,60 |
| PY4 | 5 | 0 | 0 | 0 | 0 | 40,60 |
| PY5 | 5 | 0 | 0 | 0 | 0 | 40,60 |
| PY6 | 4 | 0 | 0 | 0 | 0 | 40,60 |
| PY7 | 4 | 0 | 0 | 0 | 0 | 40,60 |
| PY8 | 4 | 0 | 0 | 0 | 0 | 40,60 |
| PY9 | 3 | 0 | 0 | 0 | 0 | 40,60 |
| PY10 | 5 | 0 | 0 | 0 | 0 | 40,60 |
| PY11 | 5 | 0 | 0 | 0 | 0 | 40,60 |
| PY12 | 5 | 0 | 0 | 0 | 0 | 40,60 |
| PY13 | 3 | 0 | 0 | 0 | 0 | 40,60 |
| PY14 | 3 | 0 | 0 | 0 | 0 | 40,60 |
| PY15 | 5 | 0 | 0 | 0 | 0 | 40,60 |
| PY16 | 5 | 0 | 0 | 0 | 0 | 40,60 |
| PY17 | 5 | 0 | 0 | 0 | 0 | 40,60 |
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Course Hours | 14 | 4 | 56 |
| Preparation, After Class Study | 14 | 1 | 14 |
| Other Activities | 14 | 2.5 | 35 |
| Visual Presentation | 14 | 2 | 28 |
| Practice | 14 | 1 | 14 |
| Midterm 1 | 1 | 2 | 2 |
| Homework 1 | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Total Workload | 153 | ||
| ECTS Credit of the Course | 6.0 | ||
