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Quantitative Reasoning & Statistical Methods for Planners I
OCW Master Course Number
11.220
Spring 2009
OCW_LOMv1.0
Author
Glenn, Ezra Haber
2021-12-11
OCW_LOMv1.0
isbasedon
URI
http://hdl.handle.net/1721.1/55900
Previous version of the course
OCW Course Topics
Mathematics
Probability and Statistics
OCW Course Topics
Social Science
Urban Studies
Urban Planning
contents/index.htm.xml
Quantitative Reasoning & Statistical Methods for Planners I
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Quantitative Reasoning & Statistical Methods for Planners I
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Scatterplot of home values in Boston
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Scatterplot of home values in Boston
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Syllabus
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Calendar
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Readings
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Lecture Notes
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Measures of variability
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The assumptions of regression analysis
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Lattice plots
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Review/slack; presentation and graphs
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Cross-tabulations; χ2 tests
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Scatterplots; correlation; cause and effect; confounding variables
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Exploratory data analysis and visualization
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What's in a number?
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Simple regression
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Course overview; epistemological foundations; math review
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Talking about money
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Labs
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hedonic
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Computer Lab #3
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Computer Lab #1
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Computer Lab #4
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nbawage
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Computer Lab #2
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statadata
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nbawage
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Assignments
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Written Assignment #1: Operationalizing Planning Concepts
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Problem Set #1
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Problem Set #2
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Written Assignment #3: Data Analysis Exercise
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Written Assignment #2: Critical Reading of Research Results
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Exams
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Midterm Exam
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Legal Notices
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Privacy Statement
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Trademark Notices
contents/assignments/MIT11_220s09_pset02.pdf.xml
contents/labs/MIT11_220s09_Lab2_Mar6.pdf.xml
contents/labs/index.htm.xml
contents/readings/index.htm.xml
contents/lecture-notes/MIT11_220s09_lec15.pdf.xml
contents/labs/statadata.zip.xml
contents/labs/MIT11_220s09_Lab01.pdf.xml
contents/lecture-notes/MIT11_220s09_lec06.pdf.xml
contents/lecture-notes/MIT11_220s09_lec17.pdf.xml
contents/lecture-notes/index.htm.xml
contents/index.htm.xml
contents/11-220s09-th.jpg.xml
contents/syllabus/index.htm.xml
contents/labs/nbawage.dta.xml
contents/assignments/MIT11_220s09_pset01.pdf.xml
contents/lecture-notes/MIT11_220s09_lec19.pdf.xml
contents/assignments/MIT11_220s09_assn03_QR_Written_3.pdf.xml
contents/assignments/MIT11_220s09_assn01_QR_Written_1.pdf.xml
contents/lecture-notes/MIT11_220s09_lec16.pdf.xml
contents/labs/hedonic.dta.xml
contents/labs/nbawage.do.xml
contents/exams/index.htm.xml
contents/calendar/index.htm.xml
contents/lecture-notes/MIT11_220s09_lec21.pdf.xml
contents/labs/MIT11_220s09_Lab04_Apr24.pdf.xml
contents/exams/MIT11_220s09_exam01_QR_Midterm.pdf.xml
contents/lecture-notes/MIT11_220s09_lec14.pdf.xml
contents/labs/MIT11_220s09_Lab03_Apr3.pdf.xml
contents/lecture-notes/MIT11_220s09_lec21Lattice.pdf.xml
contents/assignments/index.htm.xml
contents/lecture-notes/MIT11_220s09_lec01.pdf.xml
contents/assignments/MIT11_220s09_assn02_QR_Written_2.pdf.xml
contents/11-220s09.jpg.xml
contents/lecture-notes/MIT11_220s09_lec02.pdf.xml
contents/lecture-notes/MIT11_220s09_lec05.pdf.xml
PK 8S~3! 11-220-spring-2009/ReadMe.txtThis zip package contains the HTML pages and files associated with the course.
Some materials - such as videos, java applets, and other special content - are not posted on the OCW server, and are therefore not part of this package. This prevents zip packages from becoming too large for download. To download these resources to your computer, please read the FAQ at https://ocw.mit.edu/help/faq-technology/ .
Use of the materials in this package are governed by the same Creative Commons license as all other materials published on MIT OpenCourseWare. For more information, see https://ocw.mit.edu/terms .
If you have any trouble using this package, please contact us at ocw@mit.edu .PK 8S%aD6 6 11-220-spring-2009/START.htm
MIT OpenCourseWare | Welcome
Welcome to MIT Open Course Ware. You will be automatically redirected to Home. If you aren not forwarded to the new page, Click here to access the home page of the downloaded Click Here
PK *SQ0 0 0 11-220-spring-2009/contents/11-220s09-th.jpg.xml
Scatterplot of home values in Boston
Scatterplot of Boston home data, showing the relationship between home values and the number of rooms in the home. (Image by Ezra Haber Glenn.)
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2021-12-11
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This site (c) Massachusetts Institute of Technology 2021. 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") unless otherwise noted. 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.
LOMv1.0
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OCW Master Course Number
11.220 Quantitative Reasoning & Statistical Methods for Planners I Spring 2009
This course develops logical, empirically based arguments using statistical techniques and analytic methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitations of analytical techniques in planning practice.
CIP
270502
Mathematical Statistics and Probability
statistics
statistical methods
quantitative reasoning
variability
numeracy
measurement
stata
logic
probability
inferential statistics
regression
census
bivariate
multivariate
normal curve
research design
decision tree
utility
planning
distribution
city planning
stata
scatterplot
PK )S$i=0 =0 ) 11-220-spring-2009/contents/index.htm.xml
Quantitative Reasoning & Statistical Methods for Planners I
This course develops logical, empirically based arguments using statistical techniques and analytic methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitations of analytical techniques in planning practice.
OCW Master Course Number
11.220
en
LOMv1.0
4
Spring 2009
OCW_LOMv1.0
Author
Glenn, Ezra Haber
2021-12-11
2009/12/10 15:58:38 US/Eastern
2021/09/07 17:35:38.176 Universal
/courses/urban-studies-and-planning/11-220-quantitative-reasoning-statistical-methods-for-planners-i-spring-2009/index.htm
LOMv1.0
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LOMv1.0
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8.0
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LOMv1.0
Mozilla Firefox
38.0
LOMv1.0
Browser
LOMv1.0
Internet Explorer
9.0
LOMv1.0
Browser
LOMv1.0
Edge
13.1
OCW_LOMv1.0
Graduate
LOMv1.0
yes
This site (c) Massachusetts Institute of Technology 2021. 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") unless otherwise noted. 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.
LOMv1.0
isbasedon
URI
http://hdl.handle.net/1721.1/55900
CIP
270502
Mathematical Statistics and Probability
statistics
statistical methods
quantitative reasoning
variability
numeracy
measurement
stata
logic
probability
inferential statistics
regression
census
bivariate
multivariate
normal curve
research design
decision tree
utility
planning
distribution
city planning
stata
scatterplot
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