Information Package / Course Catalogue
Basic Biostatistics
Course Code: AN195
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

It aims to teach the basic concepts and applications of biostatistics and to gain the ability to analyze data in health sciences.

Course Content

The basic concepts of biostatistics, data collection and analysis methods, measures of central tendency and dispersion, probability and distribution theories, hypothesis testing, correlation and regression analysis, parametric and nonparametric tests, and statistical analysis in health sciences.

Name of Lecturer(s)
Ins. Belkıs CAN
Learning Outcomes
1.Define the basic concepts of biostatistics and statistical notations
2.To be able to organize data using data collection methods and visualize them with appropriate graphics
3.Calculate and interpret measures of central tendency (mean, median, mode) and dispersion (variance, standard deviation)
4.Explain the properties of the normal distribution and other statistical distributions, hypothesis testing and statistical analysis using the p-value
5.To be able to perform statistical analysis by applying t-tests, ANOVA, correlation, regression, chi-square tests and non-parametric tests
Recommended or Required Reading
1.DİŞÇİ, R. (2023). Temel ve Klinik Biyoistatistik [Temel and Klinik Biyoistatistik / Dişçi- (5. Baskı)].
2.Uluslararası ve ulusal makaleler/bildiriler.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Biostatistics, Basic Concepts and Variable Types
Week 2 - Theoretical
Data Collection Methods and Tables and Graphs
Week 3 - Theoretical
Measures of Central Tendency (Mean, Median, Mode)
Week 4 - Theoretical
Measures of Dispersion (Variance, Standard Deviation)
Week 5 - Theoretical
Normal Distribution and Properties
Week 6 - Theoretical
Sampling Methods
Week 7 - Theoretical
Hypothesis Tests and p-values and Significance Levels
Week 8 - Theoretical
t-Tests: For Dependent and Independent Samples
Week 9 - Theoretical
Analysis of Variance (ANOVA)
Week 10 - Theoretical
Correlation and Regression Analysis (Simple Linear Regression, Multiple Regression Analysis)
Week 11 - Theoretical
Chi-Square Tests
Week 12 - Theoretical
Nonparametric Tests (Mann-Whitney U Test, Wilcoxon Signed Rank Test, Kruskal-Wallis Test)
Week 13 - Theoretical
Nonparametric Tests (Mann-Whitney U Test, Wilcoxon Signed Rank Test, Kruskal-Wallis Test)
Week 14 - Theoretical
Nonparametric Tests (Mann-Whitney U Test, Wilcoxon Signed Rank Test, Kruskal-Wallis Test)
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Quiz2216
Midterm Examination1516
Final Examination1617
TOTAL WORKLOAD (hours)75
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
PÇ-16
PÇ-17
PÇ-18
PÇ-19
OÇ-1
3
OÇ-2
3
OÇ-3
4
OÇ-4
4
OÇ-5
4
Adnan Menderes University - Information Package / Course Catalogue
2026