Ahmad, A. (2019, June), Use of Minitab Statistical Analysis Software in Engineering Technology   Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33490

\bibitem{asee_peer_33490}
  Ahmad, A. (2019, June), \emph{Use of Minitab Statistical Analysis Software in Engineering Technology }
  Paper presented at 2019 ASEE Annual Conference \& Exposition , Tampa, Florida.
  10.18260/1-2--33490

Ali Ahmad.  "Use of Minitab Statistical Analysis Software in Engineering Technology ".  2019 ASEE Annual Conference & Exposition , Tampa, Florida, 2019, June.  ASEE Conferences, 2019.  https://peer.asee.org/33490 Internet.  25 Apr, 2024

\bibitem{asee_peer_33490}
  Ali Ahmad.
  "Use of Minitab Statistical Analysis Software in Engineering Technology ".
  \emph{2019 ASEE Annual Conference \& Exposition , Tampa, Florida, 2019, June}.
  ASEE Conferences, 2019.
  https://peer.asee.org/33490 Internet.  25 Apr, 2024

@INPROCEEDINGS{asee_peer_33490
author = "Ali Ahmad"
title = "Use of Minitab Statistical Analysis Software in Engineering Technology "
booktitle = "2019 ASEE Annual Conference \& Exposition "
year = "2019"
month = "June"
address = "Tampa, Florida"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/33490}
number = {10.18260/1-2--33490}
}

TY  - CPAPER
AB  - The Engineering Technology curriculum provides wide spread knowledge in problem solving, management of resources, and process planning. Statistical decision-making is a key skill required by Engineering Technologists, and is required under ETAC of ABET program criteria for Industrial Engineering Technology and similarly named programs. 

Traditional approaches to teaching statistical analysis tend to be mathematical in nature. Anecdotally, more than 75% of students dread their first Statistics class. This paper discusses the incorporation of Minitab Statistical Analysis Software in engineering technology courses. It looks at applying statistical decision-making without delving deep in statistical theory. It builds on industry specific approaches to empower non-statisticians to apply statistical tools in everyday decision-making. This is enabled using menu-driven statistical analysis software with powerful computational algorithms and graphics. Statistical analysis tools (such as descriptive statistics, confidence intervals, hypothesis testing, regression analysis, and ANOVA) can be applied using software, then, the decision-maker is able to use simple rules to interpret the software results. Moreover, the decision-maker can also test the assumptions of applying statistical tools, a process that is hard to teach in traditional Statistics courses. The paper concludes by providing directions for including real-life case studies to illustrate statistical decision-making to students.

AU  - Ali Ahmad
CY  - Tampa, Florida
DA  - 2019/06/15
PB  - ASEE Conferences
TI  - Use of Minitab Statistical Analysis Software in Engineering Technology 
UR  - https://peer.asee.org/33490
DO  - 10.18260/1-2--33490
ER  -