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Aug 26, 2024
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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: Entirely On-ground, or Entirely Online, or Hybrid. 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.
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