Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Biostatistics SKY223 Turkish Compulsory 3. Semester 3 + 0 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Theorical and Presantation
Course Coordinator Prof. Dr. Yalçın KARAGÖZ
Instructor(s) Prof. Dr. Yalçın KARAGÖZ (Güz)
Goals The purpose of the statistics I course; The student's ability to think with numerical data and to understand and interpret what lies behind the numbers, to analyze and interpret the basic concepts of statistics, descriptive statistics, types of scientific research, averages, distribution measures, deviation from normality measures, graphic drawings, probability and limit theorems
Course Content Basic concepts of statistics, variables, scale levels, descriptive statistics, types of scientific research, averages, distribution measures, deviation from normality measures, graphic drawings, probability and limit theorems will be explained
Learning Outcomes
# Öğrenme Kazanımı
3 Student; Will be able to analyze and interpret basic concepts of statistics, variables, scale levels, descriptive statistics, types of scientific research, averages, distribution measures, deviation from normality measures, graphic drawings, probability and limit theorems
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Basic Concepts, Variables and Their Types, Measurement and Scale Levels Practice Interview Preparation, After Class Study
2. Week Organizing Data, Frequency Distributions Practice Interview
3. Week Types of Scientific Research (Observational Research, Experimental Research) Practice Interview
4. Week Parametric Means (Arithmetic Mean, Geometric Mean, Harmonic Mean, Squared Mean) Interview Practice
5. Week Nonparametric Means (Mode, Median, Quantiles) Practice Interview
6. Week Parametric Measures of Distribution (Mean Deviation, Standard Deviation, Variance, Coefficient of Variation) Interview Practice
7. Week Nonparametric Measures of Distribution (Variation Range, Quartile Range, Decile Range) Interview Practice
8. Week Measures of Deviation from Normality (Normality, Skewness, Kurtosis, Elimination of Skewness) Interview Practice
9. Week Graphic Drawings of Numerical and Categorical Data Interview Practice
10. Week Probability (Counting, Permutation, Combination, Basic Concepts of Probability, Classical Probability, Experimental Probability) Practice Interview
11. Week Probability (Important Axioms and Theorems About Probability) and Probability Function. Expected Value and Variance of Random Variable Interview Practice
12. Week Discrete Probability Distributions (Binomial Distribution, Poisson Distribution, Hypergeometric Distribution Interview Practice
13. Week Continuous Probability Distributions (Normal Distribution) Interview Practice
14. Week Continuous Probability Distributions (Normal Distribution), Limit Theorems (Law of Large Numbers, Central Limit Theorem). Interview Practice
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Health management information related to the field of theoretical and practice and practice to have.
5 Quantitative and qualitative analysis in health care management do not have the knowledge and ability and application.
13 In the context of improving service quality and patient satisfaction, patient complaints process to develop
Relations with Education Attainment Program Course Competencies
Program Requirements DK1
PY1 3
PY5 3
PY13 3
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • SPSS AMOS META Applied Statistical Analysis (2019)., Karagöz Yalçın, Nobel Academic Publishing, Number of editions: 3, Number of Pages 1336, ISBN: 978-605-320-547-0
  • Biostatistics (2019)., Sümbüloğlu, Kadir, Sümbüloğlu Vildan, Hatiboğlu Publishing House, Number of editions: 20, Number of pages 302, ISBN: 9789757527121
  • SPSS AMOS META Applied Biostatistics (2021)., Karagöz Yalçın, Nobel Academic Publishing, Number of Editions: 3, Number of Pages 1296, ISBN: 978-625-439-583-3
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
Midterm 1 1 10 10
Homework 1 1 10 10
Homework 2 1 20 20
Final 1 20 20
Classroom Activities 14 3 42
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0