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The seven basic tools of quality are a fixed set of visual exercises identified as being most helpful in troubleshooting issues related to quality. [1] They are called basic because they are suitable for people with little formal training in statistics and because they can be used to solve the vast majority of quality-related issues.
Sample Ishikawa diagram shows the causes contributing to problem. The defect, or the problem to be solved, [1] is shown as the fish's head, facing to the right, with the causes extending to the left as fishbones; the ribs branch off the backbone for major causes, with sub-branches for root-causes, to as many levels as required.
A balancing loop is the cycle in which the effect of a variation in any variable propagates through the loop and returns to the variable a deviation opposite to the initial one (i.e. if a variable increases in a balancing loop the effect through the cycle will return a decrease to the same variable and vice versa).
Temporality: The effect has to occur after the cause (and if there is an expected delay between the cause and expected effect, then the effect must occur after that delay). Biological gradient (dose–response relationship): Greater exposure should generally lead to greater incidence of the effect. However, in some cases, the mere presence of ...
Castle thunder (sound effect) (in-jokes) (sound effects) Catapult effect (electromagnetism) Catch-up effect (economics effects) Catfish effect (human resource management) (management) (organizational studies and human resource management) (social psychology) Cause and effect; Ceiling effect (medical treatment) (statistics)
Popular belief: Kit-Kat Reality: Kit Kat Yes, it’s true: A hyphen doesn’t separate the “kit” from “kat.” The brand even addressed the Mandela effect in a tweet from 2016, saying “the ...
Here are some Mandela effect examples that have confused me over the years — and many others too. Grab your friends and see which false memories you may share. 1.
In software testing, a cause–effect graph is a directed graph that maps a set of causes to a set of effects. The causes may be thought of as the input to the program, and the effects may be thought of as the output. Usually the graph shows the nodes representing the causes on the left side and the nodes representing the effects on the right side.
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