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This exam assesses students' development of tools and techniques needed to design studies that provide representative data for mathematical analysis and statistical interpretation. It evaluates skills and knowledge related to many different disciplines and professions including sciences, social sciences, and business. Topics include types of statistics, data representations (tables, graphs, and charts), measures of location and variation, probability concepts, continuous and discrete distributions, confidence intervals, hypothesis tests, and regression and correlation analysis. The exam emphasizes the application of statistical methods for real-world problems. In solving these problems, students will demonstrate their ability to use appropriate notation and formulas. Problems may be viewed as statistical studies, and, as such, students should be able to interpret results and justify conclusions. This exam also evaluates students' competency in quantitative reasoning/literacy, one of the institutional learning outcomes.
This exam is also available as the formal course STA-201.