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STAT 321. Statistical Methods II

Credits: 3
Department: Statistics
Description: Statistical methods for analyzing data beyond Statistical Methods I. Modeling data using simple and multiple regression, and one- and two-way analysis of variance. Transformations, model selection, multiple comparisons, randomized block design, and interactions.
Prerequisites: One of: STAT 219, STAT 239, STAT 242, or STAT 353
Semester Offered:
  • Fall
  • Spring
Grading Method: ABCDF

Student Learning Outcomes

1. Compute correlation coefficients and regression coefficients for simple linear regression models.
2. Test hypotheses for parameters in simple and multiple regression models.
3. Construct confidence intervals and prediction intervals for regression models.
4. Use dummy variables in modeling categorical effects in regression models.
5. Analyze data using regression models, with statistical software.






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