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Course Prefix: STA   Course #: 403   Keywords: null   showing 1 to 2 of ~2
  • STA 403LEC Regression Analysis

    Covers regression analysis and introduction to linear models. Topics include point estimation, confidence intervals, hypothesis testing, simple linear regression, multiple regression, analysis of covariance, and non-linear regression. The course uses statistical software and emphasizes hands-on applications to data sets from a variety of settings.

    Credits: 3
    Grading: Graded (GRD)
    Typically Offered: Fall, Spring
    Prerequisites: STA 301 and 302.
  • STA 403LEC Statistical Comparisons and Associations

    Advanced presentation of statistical methods for comparing populations and estimating and testing associations between variables. Topics include point estimation; confidence intervals; hypothesis testing; ANOVA models for 1, 2, and k way classifications; multiple comparisons; chi-square test of homogeneity; Fisher's exact test; McNemar's test; measures of association, including odds ratio, relative risks, Mantel-Haenszel tests of association, and standardized rates; repeated measures ANOVA; simple regression; and correlation.

    Credits: 3
    Grading: Graded (GRD)
    Typically Offered: Fall
Published: Dec 06, 2019 16:43:01