Course Description

Students will formulate statistical questions, collect and analyze data, and interpret results. They will develop a deep conceptual understanding of the statistics they will teach to K-12 students. A focus of the class will be dealing creatively with messy data and students’ thinking about variability and statistical processes.

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Athena Title

MKT Statistical Reasoning

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Non-Traditional Format

This course will be taught 95% or more online.

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Semester Course Offered

Offered fall

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Grading System

A - F (Traditional)

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Student learning Outcomes

• Students will understand how to formulate statistical questions, collect and analyze data, and interpret results.
• Students will understand how to identify variability in the world around us.
• Students will understand how to use technology to reformulate messy data and choose appropriate methods for analysis.
• Students will understand how to use the interrogative cycle to question data presented by the media or other sources.
• Students will understand how to interpret and discuss inference in the simple linear regression model test of independence and homogeneity.
• Students will understand how to design and analyze data from experiments, observations, and surveys.
• Students will understand how to perform statistical analysis including measuring and interpreting center and spread of a data set.

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Topical Outline

• Sample statistics and population parameters
• Case vs. Aggregate
• Descriptive statistics
• Confidence intervals and significance tests
• Statistical investigation and interrogation
• Comparing groups
• Linear regression
• Use of technology
• Statistical arguments and communication
• Statistical dispositions and connection to the Mathematical Practices
• Emerging approaches and issues in statistics and data science

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Syllabus

Select Faculty / Instructor to download syllabus:   Miller, Claire

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Public CV

Select a file to download:   Miller, Claire

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