Descriptive statistics, elementary probability, the normal and binomial distributions, sampling distribution of estimators, tests of hypothesis, categorical data analysis, correlation, simple and multiple linear regression. To prepare the students to further their study in statistical topics such as quality control, design of experiments, nonparametrics, time series, and sampling.
Additional materials are on the course website.
You will have an account on the CSM Windows-NT domain. Student copies of SAS for home use are also available for purchase from the university's computer services division. SAS is the de facto standard statistical package in a number of industries, and experience with SAS is a prerequisite for many jobs in statistics and in fields which use statistics. While we will only scratch the surface of SAS's capabilities, it should provide a useful introduction into the more standard routines, and a jumping off point for future experience with it. A basic calculator may be required on the exams.