Statistics In Occupational Health and Safety
Occupational Health and Safety
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistics In Occupational Health and Safety | ISG523 | Elective | Master's degree | 1 | Fall | 8 |
Name of Lecturer(s)
Prof. Dr. Hakan PEKEY
Learning Outcomes of the Course Unit
1) Define the basic concepts associated with Biostatistics.
2) Describe the using areas of Biostatistics.
3) Provide expert advice to fellow investigators on design and data analysis for studies in the occupational health and safety areas.
4) Use appropriate statistical hypothesis tests to obtain information from research hypothesis.
5) Explain the difference between parametric and non-parametric tests.
6) Explain the fundamentals of the statistical decision theory.
7) Use the linear regression technique to analyze the relationship between different random variables.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||
| 1 | 2 | 3 | 4 | ||
| Learning Outcomes | |||||
| 1 | Middle | Middle | Middle | Low | |
| 2 | Middle | Middle | Middle | No relation | |
| 3 | Middle | Low | Middle | No relation | |
| 4 | Middle | Low | Middle | No relation | |
| 5 | No relation | No relation | Low | No relation | |
| 6 | No relation | No relation | Low | No relation | |
| 7 | No relation | No relation | Low | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
NONE
Course Contents
Definitions of Some Basic Concepts in Biostatistics, Using Biostatistics in Different Areas, Frequency Distributions and Descriptive Dimensions, Classification of Data, Table and Chart Making, Distribution Types, Hypothesis Tests, Paired Sample T-Test, Chi-square Tests, Non-parametric methods, Variance Tests, Correlation and Regression Analysis and Step-by-step instructions for using SPSS for Windows.
Weekly Schedule
1) Introduction to Statistics2) Frequency Distributions
3) Data-related Features
4) Data Preparation for Statistics
5) Descriptive Statistics
6) Hypothesis Tests
7) Hypothesis Tests
8) Midterm examination/Assessment
9) Mid-Term Exam
10) Parametric Tests Using SPSS
11) Parametric Tests Using SPSS
12) Non-Parametric Tests Using SPSS
13) Non-Parametric Tests Using SPSS
14) Correlatiion Analysis, Regression Analysis, Variance Analysis
15) Practices
16) Final examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Brain Storming
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
20% |
|---|---|
Contribution of Final Examination to Course Grade |
80% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required