This course will
provide undergraduate students with broad based knowledge in statistical
inference. Topics include confidence intervals, tests of significance,
chi-square tests of goodness-of-fit and independence, regression analysis, and
analysis of variance. Students will be introduced to a standard computer
statistical package. Fundamental concepts of statistics. Point estimation,
maximum likelihood estimators, hypothesis testing, confidence regions, t-test,
analysis of variance, non-parametric tests, chi-square goodness-of-fit tests,
correlation, regression analysis, and selected additional topics.

- Lead Lecturer: Yvette Johns