Course syllabi are available as an informational and archival resource. They represent the work of the instructor at the time of deposit. Syllabi may change up until the first day of classes or even during the course of the semester.

Please contact the academic department or course instructor directly if you have questions regarding course content or requirements. Some courses do not have syllabi available.

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Submissions from 2023

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Spring 2023 Elem Statistical Inference, Jesse Cook

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Fall 2023 Elem Statistical Inference, Jesse Cook

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Fall 2023 Elem Statistical Inference, Ryan Hansen

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Spring 2023 Elem Statistical Inference, Ryan Hansen

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Spring 2023 Elem Statistical Inference, Ryan Hansen

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Summer 2023 Elem Statistical Inference, Ryan Hansen

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Fall 2023 Elem Statistical Inference, Ryan Hansen

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Spring 2023 Intermediate Statistcl Methods, Ryan Hansen

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Fall 2023 Intermediate Stat Methods, Ryan Hansen

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Spring 2023 Introductory Design & Analysis, Ryan Hansen

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Fall 2023 Sampling Methods, Ryan Hansen

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Fall 2023 Sampling Theory and Methods, Ryan Hansen

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Summer 2023 Understanding Statistics, Ryan Hansen

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Spring 2023 Elem Statistical Inference, Caleb Holloway

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Spring 2023 Elem Statistical Inference, Caleb Holloway

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Fall 2023 Probability Theory, Mihyun Kim

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Fall 2023 Statistical Methods 2, Mihyun Kim

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Spring 2023 Statistical Methods 2, Mihyun Kim

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Fall 2023 Theory of Statistics 1, Mihyun Kim

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Spring 2023 Elem Statistical Inference, Candace Lawrence

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Summer 2023 Elem Statistical Inference, Candace Lawrence

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Fall 2023 Elem Statistical Inference, Candace Lawrence

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Fall 2023 Elem Statistical Inference, Candace Lawrence

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Spring 2023 Elem Statistical Inference, Candace Lawrence

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Spring 2023 Elem Statistical Inference, Richard Petersen

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Fall 2023 Elem Statistical Inference, Richard Petersen

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Fall 2023 Intro Probability & Statistics, Kenneth Ryan

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Spring 2023 Theory of Statistics, Kenneth Ryan

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Spring 2023 Theory of Statistics 2, Kenneth Ryan

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Fall 2023 Intro Probability & Statistics, Youngseok Song

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Spring 2023 Understanding Statistics, Lisa Zyga

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Fall 2023 Understanding Statistics, Lisa Zyga

Submissions from 2022

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Fall 2022 Elem Statistical Inference, Ryan T. Hansen

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Fall 2022 Elem Statistical Inference, Ryan T. Hansen

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Fall 2022 Elem Statistical Inference, Ryan T. Hansen

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Fall 2022 Elem Statistical Inference, Ryan T. Hansen

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Fall 2022 Intermediate Statistcl Methods, Ryan T. Hansen

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2022 Understanding Statistics, Ryan T. Hansen

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Fall 2022 Elem Statistical Inference, Caleb Holloway

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Spring 2022 Elem Statistical Inference, Caleb Holloway

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Fall 2022 Statistical Methods 2, Mihyun Kim

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2022 Elem Statistical Inference, Candace Marie Lawrence

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2022 Elem Statistical Inference, Candace Marie Lawrence

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Fall 2022 Elem Statistical Inference, Candace Marie Lawrence

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2022 Elem Statistical Inference, Candace Marie Lawrence

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Fall 2022 Elem Statistical Inference, Candace Marie Lawrence

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2022 Elem Statistical Inference, Candace Marie Lawrence

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Fall 2022 SPTP:Elem Stat Inference Coreq, Candace Marie Lawrence

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Fall 2022 Elem Statistical Inference, Clark Metz

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Fall 2022 Applied Regression Analysis, Jason Allan Palmer

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Fall 2022 Data Analysis, Jason Allan Palmer

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Fall 2022 Elem Statistical Inference, Richard F. Petersen

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2022 Elem Statistical Inference, Richard F. Petersen

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2022 Intro Probability & Statistics, Richard F. Petersen

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2022 Understanding Statistics, Richard F. Petersen

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2022 Design of Experiments, Kenneth Ryan

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2022 Introductory Design & Analysis, Kenneth Ryan

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Fall 2022 Theory of Probability, Kenneth Ryan

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2022 Theory of Statistics, Kenneth Ryan

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Fall 2022 Theory of Statistics 1, Kenneth Ryan

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2022 Theory of Statistics 2, Kenneth Ryan

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Fall 2022 Understanding Statistics, Lisa Zyga

Submissions from 2021

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Fall 2021 Elem Statistical Inference, Caleb Holloway

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Fall 2021 Elem Statistical Inference, Candace Marie Lawrence

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Fall 2021 Elem Statistical Inference, Richard F. Petersen

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Spring 2021 Elem Statistical Inference, Richard F. Petersen

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Summer 2021 Intro Probability & Statistics, Richard F. Petersen

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Fall 2021 Understanding Statistics, Richard F. Petersen

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Spring 2021 Understanding Statistics, Richard F. Petersen

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Fall 2021 Elem Statistical Inference, Diana L. Powers

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Fall 2021 Applied Regression Analysis, Kenneth Ryan

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Fall 2021 Data Analysis, Kenneth Ryan

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Fall 2021 Theory of Probability, Kenneth Ryan

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Fall 2021 Theory of Statistics 1, Kenneth Ryan

Submissions from 2020

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Fall 2020 Intro Probability & Statistics, Mark Culp

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Fall 2020 Intro Probability & Statistics, Stacey Culp

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Fall 2020 Statistical Methods 2, Stacey Culp

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Fall 2020 Elem Statistical Inference, Candace Marie Lawrence

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Fall 2020 Elem Statistical Inference, John Tyler Moss

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Spring 2020 Elem Statistical Inference, Richard F. Petersen

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Fall 2020 Elem Statistical Inference, Richard F. Petersen

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Fall 2020 Understanding Statistics, Richard F. Petersen

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Spring 2020 Understanding Statistics, Richard F. Petersen

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Fall 2020 Elem Statistical Inference, Diana L. Powers

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Fall 2020 Applied Regression Analysis, Kenneth Ryan

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Fall 2020 Data Analysis, Kenneth Ryan

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Fall 2020 Theory of Probability, Kenneth Ryan

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Fall 2020 Theory of Statistics 1, Kenneth Ryan

Submissions from 2019

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Fall 2019 Elem Statistical Inference, Susan M. Barton

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Spring 2019 Elem Statistical Inference, Susan M. Barton

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Spring 2019 Elem Statistical Inference, Susan M. Barton

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Spring 2019 Elem Statistical Inference, Stacey Culp

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Fall 2019 Elem Statistical Inference, Stacey Culp

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Spring 2019 Statistical Methods 2, Stacey Culp

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Fall 2019 Statistical Methods 2, Stacey Culp

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Fall 2019 Elem Statistical Inference, Huey Miin Lee

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Spring 2019 Elem Statistical Inference, Huey Miin Lee

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Spring 2019 Elem Statistical Inference, Huey Miin Lee

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Fall 2019 Elem Statistical Inference, Huey Miin Lee

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Summer 2019 Statistical Methods 1, Huey Miin Lee