Statistical Methodologies in Public Health Research: Theoretical Foundations
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Description
This exam evaluates understanding of statistical methodologies fundamental to public health research, emphasizing theoretical foundations critical for data interpretation and policy-making.
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Exam Details
Duration: 45 minutes
Prerequisites: Introduction To Biostatistics, Statistical Theory, Epidemiology Principles
Key Topics
- Descriptive Statistics
- Inferential Statistics
- Regression Analysis
- Hypothesis Testing
- Sample Size Determination
Learning Outcomes
- Articulate Statistical Concepts
- Explain Methodological Rationale
- Assess Appropriate Techniques
- Discuss Public Health Implications
Full Description
This exam focuses on fundamental statistical methodologies applicable in public health research. Candidates will articulate key concepts related to descriptive statistics, inferential statistics, and regression analysis.
A strong grasp of these methodologies is essential, as they empower researchers to derive meaningful conclusions from health data, informing public health policies. Proficient understanding enhances decision-making processes impacting populations.
The exam will require candidates to demonstrate their ability to verbally explain concepts, methods, and their relevance in public health scenarios. Candidates will also assess the appropriateness of different statistical techniques.
Candidates should familiarize themselves with relevant literature and case studies that illustrate the significance of statistical methodologies in health-related research.
Sample Questions
- What are the differences between descriptive and inferential statistics?
- Explain the importance of hypothesis testing in public health research?
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