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PADM-GP.1011: Statistical Methods for Public, Nonprofit, and Health Management

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New York University, Robert F. Wagner Graduate School of Public Service (NYU Wagner)

PADM-GP.1011: Statistical Methods for Public, Nonprofit, and Health Management

Description: This course introduces students to basic statistical methods and their application to management, policy, and financial decision-making. The course covers the essential elements of descriptive statistics, univariate and bivariate statistical inference, and an introduction to multivariate analysis. In addition to covering statistical theory, the course emphasizes applied statistics and data analysis, using the software package SPSS.

Learning Objectives: Students completing the course should gain the following knowledge and skills:

  • An understanding of the different levels of measurement (nominal, ordinal and interval) and their relevance for different analytic techniques.
  • An understanding of basic descriptive statistics including the mean, median, mode, range and standard deviation; and ability to calculate these statistics and to generate them using SPSS software; an understanding of when each may be appropriate for descriptive purposes.
  • An ability to calculate confidence intervals for means and proportions and to assess the relative merits of point versus interval estimates for means and proportions.
  • An understanding of the basic principles of statistical inference including the importance of sampling distributions and the standard error.
  • An ability to determine appropriate tests of statistical significance for differences in means, differences in percentage distributions and cross-tabulations, and to execute that work manually and using SPSS software.
  • An ability to determine when bivariate regression and correlation are appropriate analytic approaches, and to calculate and interpret regression and correlation coefficients, both manually and using SPSS software.
  • An ability to design a multiple regression analysis, to generate regression results using SPSS software, and to interpret these results for statistical and theoretical significance.

Faculty: Jan Blustein, Judy C. Polyné, Diana Beck

Source: Syllabus downloaded from http://wagner.nyu.edu/files/syllabi/201409/CORE-GP.1011.001.doc on 3 July 2015.

Teaching Topics Addressed in this Course, Organized by Public Management Subject

[TO BE DEVELOPED]

Commentary by the Atlas editors: The class titles in the syllabus suggest a number of the potential topics to be developed for the Atlas: 

  • Central Tendency and Dispersion
  • The Normal Curve
  • Sampling and Sampling Distribution
  • Estimation
  • Hypothesis Testing
  • Analysis of Variance
  • Bivariate Tables and Chi-square
  • Bivariate Regression and Correlation
  • Controlling for Other Variables
  • Dummy Variables

Page created by: James Ban 3 July 2015. The content presented on this page, except in the Commentary, is drawn directly from the source(s) cited above, and consists of direct quotations or close paraphrases.

 

 Syllabus

Syllabus - CORE-GP.1011 Statistical Methods for Public, Nonprofit, and Health Management - Fall 2014.pdfSyllabus - CORE-GP.1011 Statistical Methods for Public, Nonprofit, and Health Management - Fall 2014PUBLICPOLICYAND\banjames

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© University of Toronto 2008
School of Public Policy and Governance