Course Description

An introduction to statistical inference, i.e., the methods to assess when one should and should not be confident that patterns observed in a sample generalize to the full population of interest. Students master the foundational logic behind statistical inference and become fluent with software that puts statistical analysis into practice.

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Athena Title

Quant Methods Higher Ed I

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Prerequisite

ERSH 4300/6300 or ERSH 4300E/6300E or ERSH 4300H

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Corequisite

EDHI 8910L

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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 be able to quantify their confidence that conclusions based on a sample generalize to the larger population.
• Students will be able to yield and interpret relevant statistical output.

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Topical Outline

• 1. The use of software for computation
• 2. Distributions
• 3. Probability and its role in statistics
• 4. The logic of statistical inference
• 5. Basic estimation techniques for statistical inference

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Syllabus

Select Faculty / Instructor to download syllabus:   Smith, Christian

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Public CV

Select a file to download:   Smith, Christian

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