As an Adjunct Professor, Judy Polyné teaches Introduction to Statistical Methods. Additionally, Ms. Polyné has taught Multiple Regression and Econometrics and co-taught the Research Capstone and Research Tools and Methods for Public Service at Wagner. Earning her Masters degrees in Statistics and Applied Social Research from the University of Michigan, Ms. Polyné worked as a Research Scientist at the Center for Health and Public Service Research. In this capacity she served as the Project Director of the national evaluation of the Robert Wood Johnson Foundation's Expecting Success: Excellence in Cardiac Care initiative. She has also worked as a Program Associate and Research Associate for leading not-for-profit organizations including SEEDCO and MDRC. Ms. Polyné has taught at University of Michigan and The New School.
In recent years, Ms. Polyné has been expanding her consulting business where she provides her expertise in data management and analysis, survey methodology, operations, and capacity building. She is specifically interested in the areas of Financial Education and Financial Access for low and middle-income populations.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis. The primary goal of this course is to introduce these basic skills and encourage a critical approach to reviewing statistical findings and using statistical reasoning in decision making.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis. The primary goal of this course is to introduce these basic skills and encourage a critical approach to reviewing statistical findings and using statistical reasoning in decision making.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.
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 introduces multivariate analysis. In addition to covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, Stata.
The course has several "audiences" and goals. For all Wagner students, the course develops basic skills and encourages a critical approach to reviewing statistical findings and using statistical reasoning in decision making. For those planning to continue studying statistics (often those in policy and finance concentrations) this course additionally provides the foundation for that further work.