Research Design and Analysis

Catalog description

Topics include: sample size determination, assumptions and transformation of data scale, completely random, randomized block, Latin Square, and split-plot designs, comparisons among means, factorial experiments, use of the statistical programming language R, and data visualization. This course may not be appropriate for students who have completed STAT 511 and 512