A Comparison Study: Challenges and Advantages of Offering Online Graduate Level Statistical Course

Yuan Han Huang, Hsin Li Chan, Barukyah Shaparenko

Research output: Contribution to journalConference articlepeer-review

Abstract

Conveying mathematical graduate-level courses online can be challenging. A graduate-level course in applied statistical process control and experimental design has been offered since 2015. This course includes three main themes: (1) probability theory with discrete and continuous probability distributions, (2) statistical tools for estimation, hypothesis testing, and control charts, and (3) 2k full and fractional experimental designs and analysis. After three years of offering the in-person class, the program moved to an online modality to reach more professional students. All materials, modules, assignments, exams, and instructors remained the same between in-person and online modalities. The study compares the performance of students in the in-person and online cohorts of the graduate-level statistical class. The results evaluate the students' abilities in four topics: probability, hypothesis testing, experimental design, and manipulating the Minitab statistical software package. The study results demonstrate the strengths and weaknesses of conveying graduate-level statistical courses online. Student performance is not associated with gender or the time since completing a bachelor's degree but is related to the characteristics of the learning modules and advantages of online learning.

Original languageEnglish (US)
JournalASEE Annual Conference and Exposition, Conference Proceedings
StatePublished - Jun 25 2023
Event2023 ASEE Annual Conference and Exposition - The Harbor of Engineering: Education for 130 Years, ASEE 2023 - Baltimore, United States
Duration: Jun 25 2023Jun 28 2023

All Science Journal Classification (ASJC) codes

  • General Engineering

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