Lecture, three hours; laboratory, 90 minutes. Requisite: course 220A or equivalent as demonstrated by passing score on mathematics proficiency examination given first day of course 220A. Introduction to concepts of statistical inference and modeling, with emphasis on urban planning applications. Topics include sampling, hypothesis testing, analysis of variance, correlation, and simple and multiple regression. Use of computer as tool in statistical analysis and modeling. Letter grading.

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Course

Instructor
Michael Lens et al.
Previously taught
13W
Formerly offered as
URB PLN 220B

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