Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
STATISTICS I SAY203 3. Semester 2 + 2 3.0 3.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery Oral presentation, question and answer, discussion, problem solving.
Course Coordinator
Instructors Nurettin ÖNER
Assistants
Goals This course’s aim is to teach data collection, processing, chosing the right statistical methods for making decisions for the community in health sciences and to teach which method applied to which problem and in what condition
Course Content Basic concepts relation to statistics , the using of statistics in the science of the health, frequency distributions and measures of central tendency, tables and graphics, sampling distributions , probability and probability distribution, estimation, confidence intervals
Learning Outcomes 1) Defines basic concepts related to statistics courses.
2) Applies statistical methods used in the health field.
3) Applies statistical methods used in the health field.
4) Creates frequency tables.
5) Frequency distributions explain the difference among the descriptive measures.
6) Frequency distribution according to the value of descriptive measures determines the shape of the distribution.
7) Creates tables and graphs.
8) Uses the probability and sampling distributions.
9) In the estimation of the parameters point and interval estimation uses.
10) By using the samples taken from the universe has predictions about the universe.
11) Confidence limits (intervals) creates.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Statistics and Definitions of Some Basic Concepts:Population, Sampling, Subject, Parameter, Variable, Data, Measurement Format Lecture; Question Answer; Discussion

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
2. Week Fields of Use in Health Services of Statistics ,Frequence Distributions and Descriptive Measures Lecture; Question Answer; Discussion

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
3. Week Mean, Median Lecture; Question Answer; Problem Solving; Discussion

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
4. Week Mod, geometric mean Lecture; Question Answer; Problem Solving; Discussion

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
5. Week Weighted mean, Percentages Lecture; Question Answer; Problem Solving; Discussion

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
6. Week Measures of Dispersion: Standard Deviation, Variance, Standard Error, Coefficient of Variation Lecture; Question Answer; Problem Solving; Discussion

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
7. Week Table and Graph Construction Method: Marginal Table, Cross Table, Bar Chart, Histogram, Distribution Chart, Pie Chart, Cumulative Chart Lecture; Question Answer; Problem Solving; Case Study

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
8. Week Probability and Probability Distributions: Sampling Space, Probability Spaces, Probability Axioms, Random Variable Lecture; Question Answer; Problem Solving; Discussion; Case Study

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
9. Week Binomial Distribution, Poisson Distribution Lecture; Question Answer; Problem Solving; Discussion

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
10. Week Normal Distribution, Standard Normal Distribution Lecture; Question Answer; Problem Solving; Discussion

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
11. Week Sample Distributions: Chi-Square Distribution, t Distribution, F Distribution Lecture; Question Answer; Problem Solving; Discussion; Case Study

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
12. Week Estimation: Point Estimation, Interval Estimation Lecture; Question Answer; Problem Solving; Discussion; Case Study

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week Confidence Limits: Confidence Interval of Population Mean, Interval Confidence of difference in Between Two Population Mean Lecture; Question Answer; Problem Solving; Discussion

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week Interval Confidence of Population: Interval Confidence of difference in Between Two Proportion Lecture; Question Answer; Problem Solving; Discussion

 Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)

Sources Used in This Course
Recommended Sources
Akgül A., Çevik, O., İstatistiksel Analiz Teknikleri, Emek Ofset, 2005.
Karagöz M., İstatistik Yöntemleri, Ekin Kitabevi, 9.Baskı, Bursa, 2015.
Karagöz, Y., SPSS Uygulamalı Biyoistatistik, Nobel Akademik Yayıncılık, Ankara,2014.
Munro B. H., Statistical Methods for Helth care Research, Lippincott Williams & Wilkins, Fifth Edition, 2005.
Özdamar K., Paket programlar ile İstatistiksel veri Analizi, Kaan Kitabevi, 2010.
Özdamar K.,SPSS ile Biyoistatistik, 10. baskı, Nisan Kitabevi, 2015.
Sümbüloğlu K., Sümbüloğlu, V.,Biyoistatistik, 9.Baskı, 2016.

Assessment
Measurement and Evaluation Methods and Techniques
Multiple Choice Tests, true-false questions, short-answer Written Questions, Long Answer Questions for Examination, Matching Questions
Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6DK7DK8DK9DK10
PY150000000000
PY250000000000
PY350000000000
PY454444444444
PY550000000000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 4
Work Hour outside Classroom (Preparation, strengthening) 1 6
Homework 1 4
Midterm Exam 1 1
Time to prepare for Midterm Exam 1 10
Final Exam 1 1
Time to prepare for Final Exam 1 12
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload