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

    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
    View Schedule STA 403LEC Statistical Comparisons and Associations Lecture

    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

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Published: Jul 23, 2019 14:26:04