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11.220 Quantitative Reasoning and Statistical Method for Planning I, Spring 2006

dc.contributor.authorZegras, P. Christopheren_US
dc.contributor.authorRyznar, Rhonda Marieen_US
dc.coverage.temporalSpring 2006en_US
dc.date.issued2006-06
dc.identifier11.220-Spring2006
dc.identifierlocal: 11.220
dc.identifierlocal: IMSCP-MD5-c00df23b37120be8f6a7eab39f73c815
dc.identifier.urihttp://hdl.handle.net/1721.1/55900
dc.description.abstractThis course develops logical, empirically based arguments using statistical techniques and analytic methods. It covers elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation. Emphasis is placed on the use and limitations of analytical techniques in planning practice. This course is required for and restricted to first-year Master in City Planning students.en_US
dc.languageen-USen_US
dc.rights.uriUsage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.en_US
dc.subjectstatisticsen_US
dc.subjectstatistical methodsen_US
dc.subjectquantitative researchen_US
dc.subjectargumenten_US
dc.subjectmeasurementen_US
dc.subjectresearch designen_US
dc.subjectfrequency distributionen_US
dc.subjecthistogramen_US
dc.subjectstemploten_US
dc.subjectboxploten_US
dc.subjectdispersionen_US
dc.subjectprobabilityen_US
dc.subjectnormal distributionen_US
dc.subjectbinomial distributionen_US
dc.subjectsamplingen_US
dc.subjectconfidence intervalen_US
dc.subjectsignificanceen_US
dc.subjectcorrelationen_US
dc.subjectregressionen_US
dc.title11.220 Quantitative Reasoning and Statistical Method for Planning I, Spring 2006en_US
dc.title.alternativeQuantitative Reasoning and Statistical Method for Planning Ien_US
dc.typeLearning Object
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planning


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