2024-2025 Catalog

P.AD-323 Quantitative Analysis

Quantitative analysis introduces basic statistical techniques used to analyze and draw conclusions from citizen and client surveys; program and policy evaluations; and performance and operations data. These techniques include chi square, lambda, gamma, correlations, analysis of variance, t test correlation, and multivariate regression. Knowledge of these statistical techniques empowers managers by giving them the ability to evaluate the work of consultants, access the policy and management of literature, and analyze data using the analytical tools available in commonly used statistical software, such as Microsoft Excel and the Statistical Package for the Social Sciences (SPSS).

Credits

3

Prerequisite

MATH-128 or higher and STATS-240 or STATS-250 and junior standing