| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Biostatistics | BIO403 | Compulsory | Bachelor's degree | 4 | Fall | 3 |
Name of Lecturer(s)
Assistant Prof. Dr. Fevzi UÇKAN
Learning Outcomes of the Course Unit
1) Define probability and probability distributions
2) Define means variances and proportions
3) Explain Chi-square goodness of fit test, contingency tables
4) Explain linear regression and correlation
5) Explain the test statistic and rejection limits
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | ||
| Learning Outcomes | ||||||||||||||
| 1 | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | High | No relation | |
| 2 | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | High | No relation | |
| 3 | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | High | No relation | |
| 4 | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | High | No relation | |
| 5 | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | High | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
None
Course Contents
: Basic statistics, Means variances and proportions, Hypotheses, Test statistic and rejection region, Tests for Comparison of two population variances, Linear regression and correlation, Analysis of variance
Weekly Schedule
1) Probability and probability distributions2) Basic statistics; mean, median, variance, standard variation, standard error
3) Means variances and proportions
4) Inferences about the population means
5) Hypotheses; null hypothesis (H0), research hypothesis (Ha),
6) Test statistic and rejection region
7) Statistical errors; type I (alpha errors) and type II (beta errors),
8) Midterm examination/Assessment
9) The level of significance of a statistical test and sample size of a data population
10) Tests for Comparison of two population variances (T tests)
11) Chi-square goodness of fit test, contingency tables
12) Linear regression and correlation
13) Linear regression and correlation
14) A statistical test about more than two population means: Analysis of variance
15) A non parametric test of analyzing the variance of three or more populations; Kruskal-Wallis test
16) Final examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required