| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Biometry | BYL305 | 5. Semester | 2 + 2 | 3.0 | 5.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Face to face |
| Course Coordinator |
Prof. Dr. MERAL KEKEÇOĞLU |
| Instructors |
MERAL KEKEÇOĞLU |
| Assistants | |
| Goals | To teach the statistical evaluation methods of biological work results and upskill statistical data interpretation |
| Course Content | Descriptive statistics , correlation, regression and analysis of variance . Nonparametric Methods Numerical Taxonomy of demography index number . Descriptive statistics , odds and probabilities of the normal distribution, parameter estimates, errors and probability normal distribution , Significance test the hypothesis control group comparison tests, spouse correlation test , analysis of variance input, completely aleatory trial plan, aleatory blocks ( Randomized Complete Block ) trial plan , Latin square experimental plan, factorial experiments, binomial and chi-square distributions, confidence intervals. Statistical inferences basis ; Hypothesis tests, one-way classification , variance analysis and basic assumptions, correlation and linear regression analysis , regression coefficients , regression of linearity testing, non-linear relationships, correlation coefficient , groups inside ( intra- class ) correlation coefficient Katogorical data analysis; some non-parametric statistical methods |
| Learning Outcomes |
- 1. Identify the basic concepts of biometry - 2. Draw frequency bar and statistical chart - 3. Calculate the descriptive statistics - 4. Solve problems concerning normal and binomial distribution - 5. Test hypothesis via distribution functions - 6. Conduct biometry activities and use to solve problems - 7. Put biometry activities into practice |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | The descriptive statistics, correlation, regression and analysis of variance | |
| 2. Week | Non parametric methods, demography, index numbers, numeric taxonomy | |
| 3. Week | The descriptive statistics, probability distribution, parameter estimations, normal distribution of error and probabilities | |
| 4. Week | Importance test, hypothesis check, group comparison tests | |
| 5. Week | Multiple comparison test, variance analysis, test plan and linked blocks | |
| 6. Week | Test plan, latin square test plan, factorial tests | |
| 7. Week | Binomial and chi-square distributions, confidence intervals | |
| 8. Week | Binomial and chi-square distributions, confidence intervals | |
| 9. Week | Midterm | |
| 10. Week | Basis of statistical inference, hypothesis tests, one way classification | |
| 11. Week | Variance analysis and basic assumption | |
| 12. Week | Correlation and linear regression analysis, regression coefficient, linearity test | |
| 13. Week | Correlation coefficient, intragroup correlation coefficient | |
| 14. Week | Categorical data analysis, non parametric statistic methods |
| Rosner, B., Fundamentals of Biostatistics, (with CD-ROM), 2005. ISBN: 053437120-5 |
| Sümbüloğlu, K., Sümbüloğlu, V., Biyoistatistik uygulama kitabı Hatipoğlu yayınevi, Ankara, 2007. |
| Velicangil, S., Tıbbi Biyometri İstanbul Üniversitesi Tıp Fakültesi Yayınları, 1723/69. İstanbul, 1972. |
| Ersoy, N., Ağlı, E., İhtimaller Hesabı, Gazi Üni. Yayınları, Ankara, 1986. |
| Larson, H.J., Introduction to Probability Theory and Statistical Inference, John Wiley&Sons, 1982. |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 | Measurement Method |
|---|---|---|---|---|---|---|---|---|---|
| PY1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY5 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY6 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY7 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY8 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY9 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY10 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY11 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY12 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY13 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY14 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY15 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY16 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY17 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| PY18 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | - |
| 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) |
|---|---|---|---|
| Midterm 1 | 1 | 2 | 2 |
| Homework 1 | 1 | 24 | 24 |
| Homework 2 | 1 | 24 | 24 |
| Final | 1 | 2 | 2 |
| Practice | 14 | 2 | 28 |
| Practice End-Of-Term | 1 | 19.5 | 19.5 |
| Classroom Activities | 14 | 2 | 28 |
| Total Workload | 127.5 | ||
| ECTS Credit of the Course | 5.0 | ||
