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ERIC Number: EJ851659
Record Type: Journal
Publication Date: 2004-Jul
Pages: 5
Abstractor: As Provided
Reference Count: 2
ISBN: N/A
ISSN: ISSN-1069-1898
Using EDA, ANOVA and Regression to Optimise Some Microbiology Data
Binnie, Neil
Journal of Statistics Education, v12 n2 Jul 2004
Bacteria are cultured in medical laboratories to identify them so patients can be treated correctly. The tryptone dataset contains measurements of bacteria counts following the culturing of five strains of "Staphylococcus aureus". It also contains the time of incubation, temperature of incubation and concentration of tryptone, a nutrient. The question is whether the conditions recommended in the protocols for the culturing of these strains are optimal. The task is to find the incubation time, temperature and tryptone concentration that optimises the growth of this bacterium. Students may explore these data at several levels. Graphical methods can be used to investigate the relationship between the variables. ANOVA can be used with one-way, two-way and factorial models with interactions, to identify significant factors. Multiple polynomial regression methods can be used to model the data, with optimal conditions estimated by partial differentiation.
American Statistical Association. 732 North Washington Street, Alexandria, VA 22314. Tel: 703-684-1221; Tel: 888-231-3473; Fax: 703-684-2037; e-mail: asainfo@amstat.org; Web site: http://www.amstat.org/publications/jse
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A