Information Package / Course Catalogue
Bioistatistics Practice By Computer
Course Code: EB308
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

The aim of this course is to teach how to collect data about a health-related topic and how to organize, analyze, interpret them and make an ultimate decision.

Course Content

Data collection, organization, analysis, interpretation and decision to be reached

Name of Lecturer(s)
Learning Outcomes
1.To have high level knowledge of conceptual and practical information in the field of health statistics and to be able access to scientific knowledge in the field of nursing and follow the literature
2.To be able to evaluate acquired knowledge and skills critically, to specify learning needs and Using the field of health statistics to develop solutions based on scientific evidence
3.To be able express scientific ideas and proposals for solutions to problems in writing and orally to transfer. Ability to use statistics, computer, to use information and communication Technologies
4. To be able to make ethical desicions while working at all stages of health-related researches
5.To be able to integrate issues related to the education process, and independently of the other classes, learning, reading, study and research to develop the ability to
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Biostatistics and concepts, the use of biostatistics
Week 2 - Theoretical
The planning stages and types of scientific research
Week 3 - Theoretical
SPSS program, setup and menus
Week 4 - Theoretical
SPSS data entry, data classification
Week 5 - Theoretical
Frequency distributions and descriptive criteria, classification of data, arithmetic mean, median, peak value, the geometric mean, quarter, and the percentages
Week 6 - Theoretical
Prevalence of the distribution measures: the variance and standard deviation, standard error, coefficient of variation, and solving problems related to the frequency distributions Theoretical distributions: binomial distribution
Week 7 - Theoretical
Poisson distribution, normal distribution and normal distribution characteristics Sample confidence intervals and their interpretation Significance tests: measurement of the data format
Week 8 - Theoretical
Poisson distribution, normal distribution and normal distribution characteristics Sample confidence intervals and their interpretation Significance tests: measurement of the data format
Week 9 - Theoretical
Hypotheses, error level, sample size (number of subjects in groups), surveyed the group to be dependent or independent of, p and alpha values, and characteristics of types of tests, statistical decision-making process, parametric and nonparametric statistical tests, and key points for the selection of appropriate test.
Week 13 - Theoretical
Significance test for the significance test for the average rate of the universe and the universe Example statistical test solution
Week 14 - Theoretical
Correlation analysis Creating a Table and Graph
Assessment Methods and Criteria
Type of AssessmentCountPercent
Laboratory1%20
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory130226
Laboratory130226
Midterm Examination110212
Final Examination112214
TOTAL WORKLOAD (hours)78
Contribution of Learning Outcomes to Programme Outcomes