An introduction to the basic concepts and techniques of probability and statistics with an emphasis on applications. Topics to be covered include the axioms of probability, combinatorial methods, conditional probability, discrete and continuous random variables and distributions, expectations, confidence interval estimations, and tests of hypotheses using the normal, t- and chi-square distributions. Students taking this course may not subsequently receive credit for MATH 114, except by permission of the chair. Not open to students who are taking or have received credit for MATH 611.

A study of those methods of mathematical statistics that are most frequently used in the natural and social sciences, as well as actuarial science. Topics include estimation testing of statistical hypotheses, nonparametric tests, analysis of variance, correlation and regression analysis, and other methods of statistical analysis.

This is an introductory business statistics course that focuses on descriptivestatistics, regression, and inferential statistics. Topics covered include graphicalmethods, descriptive statistics with exploratory data analysis, linear regressionand correlation, the normal distribution and sampling distribution of the mean,estimation for means and proportions, and hypothesis testing for one and two groups. Students will use statistical software for analyzing selected data sets.

Statistics Elective