Information Package / Course Catalogue
Biostatistics
Course Code: BİS590
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: 4
Objectives of the Course

To teach basic statistical concepts and methods to students with specific examples and applications in the field of health, to make them understand and evaluate the literature in their field statistically.

Course Content

- Basic statistical concepts, - Collection of data, - Descriptive statistics, - Tables and graphics, - Possibility, - Introduction to analytical analysis, - Student's t tests - Mann-Whitney U & Wilcoxon T test - Chi square independence analysis, - One way ANOVA, - Kruskal Wallis Test

Name of Lecturer(s)
Prof. İmran KURT ÖMÜRLÜ
Learning Outcomes
1.Decides the appropriate basic statistical analysis,
2.Makes calculations and analyzes on its own,
3.Interpret the results,
4.Comprehends the statistical analysis in the literature in his field,
5.Have sufficient theoretical and practical basis for more advanced statistics courses.
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic statistical concepts; statistics, biostatistics, usage areas of biostatistics, population, sample, statistics, parameters, data, variables, types of scale, etc.
Week 1 - Practice
Introduction to statistical package programs
Week 2 - Theoretical
Classification of data, frequency table creation, etc.
Week 2 - Practice
Classification of data, frequency table creation, etc.
Week 3 - Theoretical
Data collection methods, surveys, etc.
Week 3 - Practice
Data entry application
Week 4 - Theoretical
Central tendency and distribution measures; mean, mod, median, standard deviation, variance, standard error, etc.
Week 4 - Practice
Calculation of central tendency and distribution measures.
Week 5 - Theoretical
Tables and graphics; table types, chart types, etc.
Week 5 - Practice
Creating tables, drawing graphics, etc.
Week 6 - Theoretical
Probability calculations.
Week 6 - Practice
Probability calculations.
Week 7 - Theoretical
Introduction to analytical analysis, hypotheses, type 1 and type 2 errors, etc.
Week 7 - Practice
Probability calculation from frequency and cross tables
Week 8 - Theoretical
Literature review and discussion (Midterm exam)
Week 9 - Theoretical
Student's t tests; one sample t test, independent samples t test, paired samples t test.
Week 9 - Practice
One sample t test, independent samples t test, paired samples t test.
Week 10 - Theoretical
Student's t tests; one sample t test, independent samples t test, paired samples t test.
Week 10 - Practice
Student's t tests; one sample t test, independent samples t test, paired samples t test.
Week 11 - Theoretical
Mann-Whitney U test, Wilcoxon T test.
Week 11 - Practice
Mann-Whitney U test, Wilcoxon T test.
Week 12 - Theoretical
Chi-square independence analysis; Pearson chi-square, Yates chi-square, Fisher's exact chi-square tests.
Week 12 - Practice
Pearson chi-square, Yates chi-square, Fisher's exact chi-square tests.
Week 13 - Theoretical
One Way ANOVA
Week 13 - Practice
One Way ANOVA
Week 14 - Theoretical
Kruskal Wallis test
Week 14 - Practice
Kruskal Wallis test
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Lecture - Practice141242
Midterm Examination1516
Final Examination18210
TOTAL WORKLOAD (hours)100
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
2
3
3
4
5
2
3
OÇ-2
2
3
3
4
5
2
3
OÇ-3
2
3
3
4
5
2
3
OÇ-4
2
3
3
4
5
2
3
OÇ-5
2
3
3
4
5
2
3
Adnan Menderes University - Information Package / Course Catalogue
2026