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

Author(s)
Zegras, P. Christopher; Ryznar, Rhonda Marie
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Download11-220Spring-2006/OcwWeb/Urban-Studies-and-Planning/11-220Spring-2006/CourseHome/index.htm (15.50Kb)
Alternative title
Quantitative Reasoning and Statistical Method for Planning I
Terms of use
Usage 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.
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Abstract
This 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.
Date issued
2006-06
URI
http://hdl.handle.net/1721.1/55900
Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Other identifiers
11.220-Spring2006
local: 11.220
local: IMSCP-MD5-c00df23b37120be8f6a7eab39f73c815
Keywords
statistics, statistical methods, quantitative research, argument, measurement, research design, frequency distribution, histogram, stemplot, boxplot, dispersion, probability, normal distribution, binomial distribution, sampling, confidence interval, significance, correlation, regression

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