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Statistics 250 - Introduction to Statistics and Data Analysis
dc.contributor.authorGunderson, Brendaen_US
dc.date.accessioned2012-10-16T20:14:52Z
dc.date.available2012-10-16T20:14:52Z
dc.date.issued2012-04en_US
dc.identifier.citationGunderson, B. (2012, April 6) Statistics 250 - Introduction to Statistics and Data Analysis. Retrieved from Open.Michigan - Educational Resources Web site: http://open.umich.edu/education/lsa/statistics250/fall2011. <http://hdl.handle.net/2027.42/94131>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/94131
dc.descriptionStatistics is the science that turns data into information and information into knowledge. ** This class covers applied statistical methodology from an analysis-of-data viewpoint. Topics covered include frequency distributions; measures of location; mean, median, mode; measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; one sample univariate inference problems, and two sample problems; categorical data; regression and correlation; and analysis of variance. Use of computers in data analysis is also explored. ** This particular course provides the syllabus from Winter 2011 and the course materials from Fall 2011; the same syllabus (and the same resources) were used for both of those semesters.en_US
dc.publisherOpen.Michiganen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.subjectAnalysis; Data; Math; Social Science; Statisticsen_US
dc.titleStatistics 250 - Introduction to Statistics and Data Analysisen_US
dc.typeLearning Objecten_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.contributor.affiliationumCollege of Literature, Science, and the Artsen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/94131/1/education-lsa-statistics250-fall2011.zip
dc.owningcollnameOpen Educational Resources


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