STATISTICAL INFERENCE AT WORK: STATISTICAL<br>PROCESS CONTROL AS AN EXAMPLE9


Authors: 
ARTHUR BAKKER, PHILLIP KENT, JAN DERRY, RICHARD NOSS &amp; CELIA HOYLES
Volume: 
7(2)
Pages: 
online
Year: 
2008
Publisher: 
Statistics Education Research Journal
URL: 
http://www.stat.auckland.ac.nz/~iase/serj/SERJ7(2).pdf
Abstract: 

To characterise statistical inference in the workplace this paper compares a<br>prototypical type of statistical inference at work, statistical process control (SPC),<br>with a type of statistical inference that is better known in educational settings,<br>hypothesis testing. Although there are some similarities between the reasoning<br>structure involved in hypothesis testing and SPC that point to key characteristics of<br>statistical inference in general, there are also crucial differences. These come to the<br>fore when we characterise statistical inference within what we call a "space of<br>reasons" - a conglomerate of reasons and implications, evidence and conclusions,<br>causes and effects.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education

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