May 01, 2024  
2020-2021 Graduate Catalog 
    
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2020-2021 Graduate Catalog [ARCHIVED CATALOG]

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EDU 6382 - Everyday Mathematics: Probability and Data Analysis

Credits: 3

Covers advanced mathematical content that informs elementary, middle, and secondary teaching, and focuses on methods of representing and analyzing data: measures of central tendency and measures of dispersion; introductory combinatorics; discrete and continuous random variables; expected value; statistical foundations; inference; random samples; properties of binomial, geometric, and normal distributions; law of large numbers; central limit theorem; significant historical developments; stochastic matrices; regression; and problem-solving. Discusses practical models and available technological tools for effectively teaching probability and statistics and for overcoming common student misconceptions in EC-12 mathematics. Examines components for developing effective mentoring relationships.


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