Principles of Data Collection and Analysis

Principles of designing experiments; analysis of variance techniques for hypothesis testing; simultaneous confidence intervals; block designs; factorial experiments; random effects and mixed models; observational data.
Prereq: 3202; or 4202 and 5730; or permission of instructor.

Credit Hours

3

Typical semesters offered are indicated at the bottom of this page. For confirmation check the Schedule of Classes list on the Registrar's website.

Recent Syllabi

Autumn 2024 Statistics 3410 syllabus for instructor Chkrebtii.pdf (opens in a new window)3.27 MB

Autumn 2024 Statistics 3410 syllabus for instructor Hu.pdf (opens in a new window)309.81 KB

Autumn 2023 Statistics 3410 syllabus for distance learning section with instructor Richards [pdf] (opens in a new window)259.91 KB

Autumn 2023 Statistics 3410 syllabus for in-person section with instructor Richards [pdf] (opens in a new window)259.49 KB

Autumn 2022 Statistics 3410 syllabus for distance learning section with instructor Richards [pdf] (opens in a new window)243.58 KB

Autumn 2022 Statistics 3410 syllabus for in-person section with instructor Richards [pdf] (opens in a new window)243.58 KB

Summer 2022 Statistics 3410 distance learning syllabus for instructor Anthonymuthu [pdf] (opens in a new window)296.18 KB

Autumn 2021 Statistics 3410 syllabus for instructor Richards [pdf] (opens in a new window)261 KB

Autumn 2021 Statistics 3410 distance learning syllabus for Richards [pdf] (opens in a new window)265.83 KB

AU20 STAT 3410 Chkrebtii [pdf]

AU19 STAT 3410 Chrkebtii [pdf]

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Principles of Data Collection and Analysis

STAT 3410: Principles of Data Collection and Analysis

Recent Syllabi

Semester(s) Offered: