Course Name Code Semester T+U Hours Credit ECTS
Statistical Data Analysis With Package Program EHP 508 0 2 + 2 3 6
Precondition Courses EHP 507 BIOSTATISTICS
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. ÜNAL ERKORKMAZ
Course Lecturers
Course Assistants
Course Category General Training
Course Objective The aim of this course is to teach the applications of Statistical Packages in the studies of researchers in scientific studies conducted at health science.
Course Content Software packages used in biostatistical analysis, menu management of the software package, data entry, transfer of data sets created with various programs, descriptive statistics with software package , univariate and multivariate analysis application, correlation and regression analysis.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Introduction To Some Statistical Packages and Their Menus Lecture, Drilland Practice, Motivations to Show, Group Study, Testing, Performance Task,
2 Entering And Saving Data Sets In Packages, Import Data Sets From Other Sources Lecture, Drilland Practice, Motivations to Show, Group Study, Testing, Performance Task,
3 Drawing the graphs in Package Programs Lecture, Drilland Practice, Motivations to Show, Group Study, Testing, Performance Task,
4 Calculation of Descriptive Statistics, Create Cross and Frequency Tables in Package Programs Lecture, Drilland Practice, Motivations to Show, Group Study, Testing, Performance Task,
5 Chi-Square Test in Package Programs Lecture, Drilland Practice, Motivations to Show, Group Study, Testing, Performance Task,
6 Parametric Tests in Package Programs Lecture, Drilland Practice, Motivations to Show, Group Study, Testing, Performance Task,
7 Nonparametric Tests in Package Programs Lecture, Drilland Practice, Motivations to Show, Group Study, Testing, Performance Task,
8 Linear Regression and Correlation Analyses in Package Programs Lecture, Drilland Practice, Motivations to Show, Group Study, Testing, Performance Task,
9 Logistic Regression Analyses in Package Programs Lecture, Drilland Practice, Motivations to Show, Group Study, Testing, Performance Task,
10 Reliability Analysis in Package Programs Lecture, Drilland Practice, Motivations to Show, Group Study, Testing, Performance Task,
Week Course Topics Preliminary Preparation
1 Introduction To Some Statistical Packages and Their Menus
2 Entering And Saving Data Sets In Packages, Import Data Sets From Other Sources
3 Drawing the graphs in Package Programs
4 Calculation of Descriptive Statistics, Create Cross and Frequency Tables in Package Programs
5 Chi-Square Test in Package Programs
6 Parametric Tests in Package Programs
7 Parametric Tests in Package Programs
8 Nonparametric Tests in Package Programs
9 Nonparametric Tests in Package Programs
10 Linear Regression and Correlation Analyses in Package Programs
11 Logistic Regression Analyses in Package Programs
12 Reliability Analysis in Package Programs
13 Applications
14 Applications
Resources
Course Notes Özdamar K, Paket Programlar ile İstatistiksel Veri Analizi Cilt 1, Nisan Kitabevi, 2013.
Course Resources 1. Alpar R, Ugulamalı İstatistik, Detay Yayıncılık, Ankara 2012
2. Özdamar K, SPSS ile Biyoistatistik, Nisan Kitabevi, 2013.
3. Çelik Y, NASIL? Biyoistatistik, Bilimsel Araştırma, SPSS, I. Baskı Eylül 2011
4. Applied Multivariate Statistical Analysis, R.A. Johnson and D.W. Wichern, Prentice Hall Inc., New Jarsey, 1988.
5. SPSS Inc. Advanced Models, 11.0, SPSS Inc. Chicago, 2001
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The agents of infectious diseases
2 The prevention ways of infectious diseases X
3 The survey of infectious diseases X
4 Outbreaks and control of infectious diseases X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Performans Görevi (Uygulama) 40
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 5 5
Performance Task (Application) 1 5 5
Final examination 1 10 10
Total Workload 148
Total Workload / 25 (Hours) 5.92
dersAKTSKredisi 6