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ST 531 Experimental Design
Overview and comparison of observational studies and designed experiments followed by a thorough discussion of design principles. Review of estimation and inference for regression and ANOVA models from an experimental design perspective. Review of design and analysis for completely randomized, randomized complete block, and Latin square designs. Designs and analysis methods for factorial experiments, general blocking structures, incomplete block designs, confounded factorials, split-plot experiments, and fractional factorial designs. Examples used to illustrate application and analysis of these designs.
Typically offered in Fall only
Statistics (PhD)
/graduate/sciences/statistics/statistics-phd/
1 Unless student has taken ST 542 Statistical Practice 2 A 500-level or 700-level course in either statistics or another department with material relevant to the student’s plan of work. Examples include ST 520 , ³§°ÕÌý531 , ST 533 , ST 534 , ST 537 , ST 540 , ST 544 , ST 546 / MA 546 , ST 563 , ST 721 , ST 732 , ST 733 , ST 740 , ST 745 , ST 746 , ST 747 / MA 747 , and ST 790 3 Additional courses may include ST 801 , ST 895  and courses taken from a Master of Statistics or Master of Science in Statistics degree at NCSU.