Statistical Design and Analysis of Experiments

Part 1 Describing variability: descriptive statistics; graphical displays of data; graphical comparisons of distributions. Part 2 Experimental design: statistical principles in experimental design; factorial experiments in completely randomized designs; blocking designs; fractional factorial experiments; nested designs; response-surface designs. Part 3 Analysis of designed experiments: statistical principles in data analysis; inferences on means; inferences on standard deviations; analysis of completely randomized designs; multiple comparisons; analysis of designs with random factor levels; analysis of blocking designs and fractional factorials; analysis of covariance; analysis of count data. Part 4 Fitting data: linear regression with one variable; linear regression with several variables; polynomial models; outlier detection; assessment of model assumptions; model respecification; variable selection techniques; alternative regression estimators.