Research Design and Analysis
This course will be a survey of statistical methods needed for scientific research, including planning data collection and data analyses that provide evidence about a research hypothesis. The course will include factorial, block, and split-plot/repeated-measures designs and analyses of variance, interactions, contrasts, multiple comparisons, and graphical methods for displaying data. Special attention will be given to analysis of data from student projects such as theses and independent studies. The R statistical software will be used for data analysis. (MATH 0116, PSYC 0201, ECON 0210 or by waiver) 3 hrs. lect.