Courses:

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Many, if not most, planners frequently work with quantitative data. Some summarize, analyze, and present data they have collected themselves or have obtained from secondary sources; others must review quantitative analyses and assess the validity of arguments made therein. This course is designed to prepare you to critically review analyses prepared by others, as well as to conduct basic statistical analysis of data yourself.

Using numerous examples of "real world" quantitative analysis related to the planning profession, we will become familiar with a variety of tools for describing and comparing sets of data, as well as those used to generate estimates and test hypotheses. We will also emphasize the development of sound arguments and research design, such that students appreciate both the power and limits of quantitative analysis in argumentation. Unlike many other statistics classes, 11.220 gives particular attention to developing the skill of expressing statistical ideas in clear, simple language. We view these skills as essential for effective planning practice.

We will use a variety of software packages in this class, building on students' experience in 11.204 and demonstrating the application of programs such as Microsoft® Access, Microsoft® Excel, ArcGIS™ and SPSS® for quantitative and statistical analysis. Students are encouraged to begin practicing their computing skills prior to the start of class and to seek the support they need throughout the term.

Moore, D., and W. I. Notz. Statistics: Concepts and Controversies. 6th ed. New York, NY: W.H. Freeman, 2006. ISBN: 0716786362.

Meier, K., J. Brudney, and J. Bohte. Applied Statistics for Public and Nonprofit Administration. 6th ed. Belmont, CA: Thomson Wadsworth, 2006. ISBN: 0534602681.

Your grade in this course will be determined by the following formula:

Please note that no homework assignments will be accepted past the date that solutions are provided (which is generally 48 hours after assignments are handed in). Moreover, any assignment that is submitted past its due date will be penalized one full letter grade for every two days it is late. For example, a homework assignment that reflects "A-" level work but is submitted two days beyond the due date will receive a "B-". No make-up exams will be given except in extraordinary (i.e., emergency) circumstances. In order to maintain fairness among students and a smoothly running course for all of us, these guidelines will be strictly followed.

In determining a final course grade we may also take into account trends in a student's work and the level of his/her participation in class and recitation, which may also raise a grade at the margin (thus "counting" for somewhat more than 5% of the final grade). Also, be aware that students who have not achieved a sufficient level of command of the material will not receive a passing grade in the course. These students will have to take the course over again, or take an equivalent course in another department or at Harvard.