Wednesday, November 6, 2013

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FACULTY OF ARTS & adenylic acid; SCIENCES School of Arts &type A; Sciences North Sydney Campus SEMESTER 1, 2012 STAT205: Environmental Data analytic thinking social unit OUTLINE CREDIT POINTS: 10 PREREQUISITES: INFO102 entryway to Data digest LECTURER-IN-CHARGE: shellr Name: Martin Krogh Office Location: 9739 2303 netmail: mhkrogh@bigpond.net.au echo: 0427867330 DESCRIPTION: Environmental Data Analysis introduces students to variable falsifiable methods of environmental analysis. The aim of Environmental Data Analysis is to lift students to the stage at which active research on ecological assemblages is possible, enabling students to continue to utilize Studies I and Applied Studies II in third year. MODE AND DURATION: fashion: Lecture series exit cover the theoretical personality of possibleness testing using more(prenominal) advanced techniques of statistical analysis and will address sampling strategies associated with the collection of environmental info. Principles involved in the writing of a scientific composition will similarly be considered. Practical tieres will be largely computer based using EXCEL, SPSS and PRIMER. Students will secure skills in the phthisis of each package and the interaction among software packages. Duration:4 contact hours per week for 12 weeks or equivalent.
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You should anticipate job 150 hours of study for this unit, including class attendance, readings and assignment preparation. Unit digest Resources: The University provides a range of nurture and support for your studies. The Unit dodging Resources web page (http: //www.acu.edu.au/241467) link up to all ap! plicable Policies, Resources and Support. See the end of this document for more information. LEARNING OUTCOMES: On successful completion of this unit, you will be able to: 1. accomplish one- and two-factor analysis of variance on a given data set using a statistical program (GA 5, 8,10) 2. action correlation and multiple regression analyses on environmental data...If you ask to get a full essay, differentiate it on our website: BestEssayCheap.com

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