MA 23800

Advanced Topics In Mathematics For Elementary School Teachers II

Purdue University Northwest · UGRD · Fall 2026

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Topics in data analysis and probability such as nature and uses of data, designing investigations and sampling, distinguishing between types of data, appropriate representations of data, interpretations of data, basic concepts of probability and randomness, simulations. Appropriate technologies for teaching such topics will be used. Permission of department required. Prerequisite(s): MA 13700 FOR LEVEL UG WITH MIN. GRADE OF B AND MA 13800 FOR LEVEL UG WITH MIN. GRADE OF B Course Learning Outcomes 1. Design investigations, collect data through random sampling or random assignment to treatments, and use a variety of ways to display the data and interpret data representations. 2. Draw conclusions involving uncertainty by using computer-based simulation for estimating probabilities and gathering data to make inferences and decisions. 3. Identify misuses of statistics and invalid conclusions from probability. 4. Use appropriate statistical methods and technological tools to analyze data and describe shape, spread, and center. 5. Investigate, interpret, and construct representations for conditional probability geometric probability, and for bivariate data. 6. Demonstrate an understanding of the instructional decision-making processes of guided reinvention teachers. View Class Schedule

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Class #purdue_northwest-1798Fall 2026UGRD3.00 credits
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