Teaching Statistics to Engineers: Learning from Experiential Data

Mandrekar, Vidyadhar. "Teaching Statistics to Engineers: Learning from Experiential Data." Serdica Journal of Computing 8.3 (2014): 227-232. <http://eudml.org/doc/270075>.

@article{Mandrekar2014,
abstract = {The purpose of the work is to claim that engineers can be motivated to study statistical concepts by using the applications in their experience connected with Statistical ideas. The main idea is to choose a data from the manufacturing factility (for example, output from CMM machine) and explain that even if the parts used do not meet exact specifications they are used in production. By graphing the data one can show that the error is random but follows a distribution, that is, there is regularily in the data in statistical sense. As the error distribution is continuous, we advocate that the concept of randomness be introducted starting with continuous random variables with probabilities connected with areas under the density. The discrete random variables are then introduced in terms of decision connected with size of the errors before generalizing to abstract concept of probability. Using software, they can then be motivated to study statistical analysis of the data they encounter and the use of this analysis to make engineering and management decisions.},
author = {Mandrekar, Vidyadhar},
journal = {Serdica Journal of Computing},
keywords = {Statistics for Engineers; Experiential Data; Quality Control; Statistical Concepts; Engineering Decisions},
language = {eng},
number = {3},
pages = {227-232},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Teaching Statistics to Engineers: Learning from Experiential Data},
url = {http://eudml.org/doc/270075},
volume = {8},
year = {2014},
}

TY - JOUR
AU - Mandrekar, Vidyadhar
TI - Teaching Statistics to Engineers: Learning from Experiential Data
JO - Serdica Journal of Computing
PY - 2014
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 8
IS - 3
SP - 227
EP - 232
AB - The purpose of the work is to claim that engineers can be motivated to study statistical concepts by using the applications in their experience connected with Statistical ideas. The main idea is to choose a data from the manufacturing factility (for example, output from CMM machine) and explain that even if the parts used do not meet exact specifications they are used in production. By graphing the data one can show that the error is random but follows a distribution, that is, there is regularily in the data in statistical sense. As the error distribution is continuous, we advocate that the concept of randomness be introducted starting with continuous random variables with probabilities connected with areas under the density. The discrete random variables are then introduced in terms of decision connected with size of the errors before generalizing to abstract concept of probability. Using software, they can then be motivated to study statistical analysis of the data they encounter and the use of this analysis to make engineering and management decisions.
LA - eng
KW - Statistics for Engineers; Experiential Data; Quality Control; Statistical Concepts; Engineering Decisions
UR - http://eudml.org/doc/270075
ER -