Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Biostatistics II SKY224 Turkish Compulsory 4. Semester 3 + 0 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Theoretical and Presentation
Course Coordinator Prof. Dr. Yalçın KARAGÖZ
Instructor(s)
Goals Purpose of Statistics II Course; The Student's Ability to Make and Interpret Analyzes on Sampling Theory and Sampling Process, Confidence Interval, Hypothesis Tests, Z Test, T Test, One-Way Analysis of Variance (F Test), Chi Square Test, Correlation Analysis, Regression Analysis, Statistical Methods Specific to the Field of Health
Course Content Sampling Theory and Sampling Process, Confidence Interval, Hypothesis Tests, Z Test, T Test, One-Way Analysis of Variance (F Test), Chi Square Test, Correlation Analysis, Regression Analysis, Statistical Methods Specific to the Field of Health will be Explained
Learning Outcomes
# Öğrenme Kazanımı
0 Student; Will be able to make and interpret analyzes on sampling theory and sampling process, confidence interval, hypothesis tests, Z test, t test, one-way analysis of variance (F test), chi square test, correlation analysis, regression analysis, and statistical methods specific to the field of health
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Basic Concepts of Sampling Theory, Sampling Distributions Practice Interview
2. Week Sampling Process, Sampling Methods, Sampling Errors Practice Interview
3. Week Confidence Interval Interview Practice
4. Week Hypothesis Tests (Types of Hypotheses, Stages of Hypothesis Testing), Z Test (Testing the Difference of a Main Population Mean from a Certain Value, Testing the Difference Between Two Main Population Means for Independent Samples) Practice Interview
5. Week Z Test (Conjugate Samples Test, Test of Difference of a Main Mass Proportion from a Certain Value, Test of Difference Between Two Main Mass Proportions) Practice Interview
6. Week T Test (Test of Difference of a Main Population Mean from a Certain Value, Independent Samples and Matched Samples Test) Practice Interview
7. Week One-Way Analysis of Variance (F Test) Interview Practice
8. Week One-Way Analysis of Variance (F Test) Practice Interview
9. Week One Sample Chi Square Test Interview Practice
10. Week Chi Square Test in Cross Tables Interview Practice
11. Week Correlation Analysis Practice Interview
12. Week Regression Analysis (Bivariate) Practice Interview
13. Week Regression Analysis (Multivariate) Interview Practice
14. Week Statistical Methods Specific to the Field of Health 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.
1 Health management information related to the field of theoretical and practice and practice to have.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1
PY1 3
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • 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
  • 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
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 15 15
Homework 2 1 15 15
Final 1 20 20
Classroom Activities 14 3 42
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0