Statistics and their distributions. Introduction to statistical inference through point estimation and confidence interval estimation of a population parameter. Properties of statistics including unbiasedness and consistency in estimation. Single parameter hypothesis testing, Type I and Type II Errors. Multi-parameter estimation through confidence interval estimation and hypothesis testing. The analysis of bivariate data through simple linear regression, including inferences on the parameters of the linear model and the analysis of variance.
This course may not be repeated for credit.
- Prior or concurrent completion of Mathematics 353 or 381 is strongly recommended for students without credit of Mathematics 267 or 277. Also known as: (formerly Mathematics 323)
- Mathematics 321 or Statistics 321.
This course will be offered next in Summer 2017