Title  Rochester  Basic Statistics: MBI540 (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  thurstonvirologyjan2011.pdf 
URL_Web_Link 

Type of Course  Single Presentation 
Level of Course  Beginning, Midlevel 
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 WHY STATISTICS FOR VIROLOGISTS? 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 

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Data 

Keywords 
Experimental Design Mean Standard Deviation Standard Error M&M Data 2Sample Ttest Importance of Plotting the Data 1Way ANOVA 
See Also 

Type of Activity  Course Slides 
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