Statistical Analysis for Public Administration

Statistical Analysis for Public Administration examines the statistical concepts and methods used to analyze administrative, governmental, and public-policy data. The book begins with fundamental principles of data collection, classification, tabulation, and graphical presentation before introducing measures of central tendency and dispersion. It develops concepts of probability, sampling, estimation, and hypothesis testing and explains their applications to public-sector research. Attention is given to correlation and regression for examining relationships among administrative variables and identifying factors associated with policy or program outcomes.