|Primary Instructor: Corti||Credit Hours: 3|
The student will be given the opportunity to demonstrate the ability to: 1)select and utilize the appropriate techniques for determining basic probability, sensitivity and specificity, Bayes Rule, population measures, Gaussian distributions, point estimation, confidence intervals, classical and practical hypothesis testing, simple analysis of variance with mean separation tests, nonparametric procedures for one- and two-way classifications, least squares regression and correlation, including lack of fit tests, simple categorical data analysis including goodness of fit, and homogeneity of proportions; 2)appropriately assess the findings of the tests utilized above; and 3)based on the finding assess the statistical significance of the assay to which the testing was applied (45 lecture hours).
|Note: Offered All Terms|
|Lab Fee: No Lab|
|Syllabus: Available here.|
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