STAT 630 - Statistical Methods

Units: 4
Random variables, sampling distributions, conditional probability. Expectation. Estimation, method of moments, maximum likelihood. Confidence intervals. Hypothesis testing. Computer-aided computations and simulations. Topics include: t-tests, correlation, regression, proportions, chi-squared, ANOVA, nonparametrics, bootstrapping.

Prerequisites: Admission to M.S. Statistics major or M.S. Biostatistics program.
Possible Instructional Methods: On-ground, or Hybrid, or Online-Asynchronous.
Grading: A-F grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:

Apply statistical methodologies, including descriptive statistics and inferential techniques.
Program an appropriate statistical software package to produce relevant computer output.
Interpret the results of statistical analyses appropriately.
Communicate statistical concepts and the results of data analyses to non-statisticians.