MATH 320

Fundamental Concepts: Probability & Data Analysis

Manhattan University · UGRD · Fall 2026

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A course for prospective teachers of K-8 mathematics. The course will explore data analysis as a four-step investigative process involving question development, data production, data analysis and contextual conclusions. Topics may include describing and comparing data distributions for both categorical and numerical data, exploring bivariate relationships, exploring elementary probability, and using random sampling as a basis for informal inference. Course includes use of appropriate software. Prerequisite: A grade of C or better in MATH 222 . Offered irregularly.

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Class #manhattan-MATH320Fall 2026UGRD3 credits
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