Bivariate distributions. Sampling distributions. Chi-squared, F and t distributions. Estimation. Hypothesis tests (proportions, means, variance, chi-square). Method of moments. Maximum likelihood estimators. Neyman-Pearson lemma. Likelihood ratio tests. Elementary regression and correlation.
This course may not be repeated for credit.
Notes
- Prior or concurrent completion of Mathematics 353 or 381 is strongly recommended. Also known as: (formerly Mathematics 323)
SyllabusSections
This course will be offered next in
Summer 2014.