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Detailed Course Information

 

Fall 2017
Sep 23, 2017
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Information Select the desired Level or Schedule Type to find available classes for the course.

BIST 501 - Intro BIST: Exp Des/Anlys
This course is designed for introductory biostatistical theory and application for students pursuing a master's degree in fields outside of the Department of Biostatistics, Bioinformatics, and Biomathematics.  Students first learn the four pillars of exploring and displaying data appropriately, exploring relationships between two variables, issues of gathering sample data, and understanding randomness and probability.  On these pillars, students then can develop the platform for statistical inference including proportions and means, multiple regression, and ANOVA.

Textbook: Principles of Biostatistics, 2nd edition; Marcello Pagano, Cengage Learning
ISBN: 9780534229023

3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours

Levels: MN or MC Graduate, Undergraduate
Schedule Types: Lecture

Biostatistics & Epidemiology Department

Restrictions:
Must be enrolled in one of the following Levels:     
      MN or MC Graduate

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