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Apr 06, 2026
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STAT 630 - Statistical Methods
Units: 4
Exploratory data analysis, study design, sampling distributions. Confidence intervals. Hypothesis testing. Computer-aided computations and simulations. t-tests, correlation, regression, proportions, chi-squared test, ANOVA, nonparametrics, resampling procedures, and 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.
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