Hypothesis testing: individual parameters, equality of parameters, paired tests, proportions, goodness-of-fit, chi-square, and Kolmogorov–Smirnov tests; probability plotting; contingency tables. Experimental strategy; completely randomized single-factor experiments; tests of individual treatment means; random effects models; completely randomized block design; determination of sample size in single-factor experiments; applications of experimental design techniques; factorial experiments: 2k, blocked, and confounded designs; response surface methods. Regression models: linear regression; properties of least-squares estimators and variance estimation; common abuses of regression; hypothesis testing in simple linear regression; confidence intervals; prediction of new observations; evaluation of the adequacy of the regression model; transformations to straight lines; correlation.

Credits: 3.0 (three)