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Taking a simplified approach to statistics, this textbook teaches students the skills required to conduct and understand quantitative research. It provides basic mathematical instruction without compromising on analytical rigor, covering the essentials of research design; descriptive statistics; data visualization; and statistical tests including t-tests, chi-squares, ANOVAs, Wilcoxon tests, OLS regression, and logistic regression. Step-by-step instructions with screenshots are used to help students master the use of the freely accessible software R Commander. Ancillary resources include a solutions manual and figure…
Daniel S. Scheller is Associate Professor of Public Administration and Director of the Master of Public Administration (MPA) program in the Department of Political Science at Texas Tech University, USA. His research interests are in urban policy, neighborhood development, housing, and civic participation.