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- Author:
-
McGready, John
- Subject:
- Mathematics and Statistics, Science and Technology, Social Sciences
- Institution Name:
- Johns Hopkins Bloomberg School of Public Health
- Collection:
-
JHSPH OpenCourseWare
- Grade Level:
- Post-secondary
- Abstract:
Statistical Reasoning in Public Health provides an introduction to selected important topics in biostatistical concepts and reasoning through lectures, exercises, and bulletin board discussions. It represents an introduction to the field and provides a survey of data and data types. Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and random sample and other study types. While there are some formulae and computational elements to the course, the emphasis is on interpretation and concepts.
- Languages:
- English
- Material Type:
- Full Course, Lecture Notes, Syllabi
- Media Format:
- Graphics/Photos, Text/HTML, Downloadable docs
- Technical Requirements:
- Adobe Acrobat
- Conditions of Use:
-
Creative Commons Attribution-Noncommercial-Share Alike 2.5
No restrictions on your remixing, redistributing, or making derivative works.
Give credit to the author, as required.
Your remixing, redistributing, or making derivatives works comes with some
restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make
derivative works.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based
educators, or other custom arrangements. Go to the resource provider to see
their individual restrictions.
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