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Title: Rochester - Basic Statistics: MBI-540 (for Virologists)

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Title Rochester - Basic Statistics: MBI-540 (for Virologists)
Contributor/Contact Sally Thurston, PhD
Institution Rochester
Acknowledgment Please cite the appropriate contributors/authors/contacts when using or adapting these materials.
Format PDF slides
Attachment thurston-virology-jan2011.pdf

Type of Course Single Presentation
Level of Course Beginning, Mid-level
Audience Graduate Student, Clinical Researcher
Topics Description WHY STATISTICS?
* Allows us to say something (“make inference”) about a population based on data from a sample.
* Statistics allows us to estimate weight loss in the populationusing data from a sample.
* Many journal articles ask for statistics

Design of experiment is key
* No statistical method can fix bad data!
* Essential to think about design before data is collected

Be clear about research question(s) before collecting data.
*Includes: what data to collect to answer question(s).

Know your data
* How the measurements relate to research question
* Plots to visualize your data: helpful!

Most statistical models have assumptions
* If violated, statistical “answer” not correct.
Software Program



Keywords Experimental Design
Standard Deviation
Standard Error
M&M Data
2-Sample T-test
Importance of Plotting the Data
See Also

Type of Activity Course Slides
Disclaimer The views expressed within CTSpedia are those of the author and must not be taken to represent policy or guidance on the behalf of any organization or institution with which the author is affiliated.
Topic revision: r4 - 08 Oct 2012 - 15:33:03 - MaryBanach

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