STATISTICAL INFERENCE AT WORK: STATISTICAL PROCESS CONTROL AS AN EXAMPLE

By Arthur Bakker, Phillip Kent, Jan Derry, Richard Noss, Celia Hoyles. 2008

53 citations recorded by the source corpus.

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

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4c3ef0dd6781bfe205e031dd32fc3a1d4f8c92d7

How researchers see this paper

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In Statistics and Probability

1. K. Makar
2. Arthur Bakker
3. Dani Ben-Zvi
4. Jan Derry
5. Einat Gil
6. M. Pfannkuch
7. Joan Garfield
8. C. Reading

Citations in the corpus

• The Reasoning Behind Informal Statistical Inference (2011, result): “The reason why we elaborate on the creative formation of hypotheses and explanations is that we have noted that students and employees—in the process of exploring data and making statistical inferences—often spontaneously generate hunches, hypotheses, or theories that might explain the data being as”
• Lessons from Inferentialism for Statistics Education (2011, background): “Even though people may not be consciously aware of the particular web of reasons in play in the context in which they are active, for example when drawing an inference about a production process in a car factory, those reasons still impact their work (Bakker et al., 2008).”
• Explanations and Context in the Emergence of Students' Informal Inferential Reasoning (2011, background): “In this regard, it has been suggested that the dichotomy between context and statistics can be resolved through the lens of space of reasons (Bakker et al., 2008).”