Statistical Reasoning I OpenCourseWare: Free Online Introductory Statistics Course by Johns Hopkins University

Published Jan 14, 2009

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Learn about using statistics to determine trends in public health through Johns Hopkins University's free OpenCourseWare class, 'Statistical Reasoning in Public Health I.' This undergraduate-level course provides a useful review of concepts like describing data, testing hypotheses, comparing groups and survival analysis. This class is intended for students studying Biology, Statistics and Public Health.

Statistical Reasoning in Public Health I: Course Specifics

Degree Level Free Audio Video Downloads
Undergraduate Yes No No Yes

Lectures/Notes Study Materials Tests/Quizzes
Yes Yes No

Statistical Reasoning in Public Health I: Course Description

'Statistical Reasoning in Public Health I' is a free OpenCourseWare class provided by Johns Hopkins University. This undergraduate-level course provides a broad overview of biostatistics, data types and how these concepts are applied to the field of public health. These online materials are from a class currently taught by Professor John McGready. Downloadable lectures are organized in a series of four modules, focusing on survival analysis, data descriptions, confidence intervals and hypothesis testing. Topics covered by individual lectures include the paired t-test, population comparisons, data variability and statistical hypothesis testing. These lectures give students a greater understanding of the kinds of data used in the field of public health, how to present data visually, determine probabilities based on data, perform t-tests, compare populations and more. You'll also find resources that will introduce you to Stata, a data analysis and statistics software program which is used in this course, but which must be purchased separately.

This free online class includes a syllabus, class schedule, seven downloadable lectures and reference materials concerning the use of the Stata software package. If this OpenCourseWare class sounds useful, visit the statistics for public health course page.

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