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Statistics 250 - Introduction to Statistics and Data Analysis
dc.contributor.authorGunderson, Brenda
dc.date.accessioned2016-06-03T20:45:18Z
dc.date.available2016-06-03T20:45:18Z
dc.date.issued2012-04
dc.identifier.citationGunderson, B. (2012, April 6). Statistics 250 - Introduction to Statistics and Data Analysis. Retrieved from Open.Michigan - Educational Resources Web site: open.umich.edu/education/lsa/statistics250/fall2011
dc.identifier.urihttps://hdl.handle.net/2027.42/120500
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.
dc.publisherOpen.Michigan
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/
dc.subjectanalysis
dc.subjectcaptions
dc.subjectdata
dc.subjectmath
dc.subjectsocial science
dc.subjectstatistics
dc.subjectvideos
dc.titleStatistics 250 - Introduction to Statistics and Data Analysis
dc.typeLearning Objecten_US
dc.subject.hlbsecondlevelMathematics
dc.subject.hlbtoplevelScience
dc.contributor.affiliationumLiterature, Science, and the Arts
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/120500/1/lsa-statistics_250_introduction_to_statistics_and_data_analysis-April12.zip
dc.owningcollnameOpen Educational Resources


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Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)

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