Normal or random variations that are considered part of operating the system at its current capability are <u> c. common cause variations.</u>
Explanation:
Common cause variation is fluctuation caused by unknown factors resulting in a steady but random distribution of output around the average of the data.
Common-cause variation is the natural or expected variation in a process.
Common-cause variation is characterised by:
- Phenomena constantly active within the system
- Variation predictable probabilistically
- Irregular variation within a historical experience base
It is a measure of the process potential, or how well the process can perform when special cause variation removed.
Common cause variation arises from external sources that are not inherent in the process and is where statistical quality control methods are most useful.
Statistical process control charts are used when trying to monitor and control 5- and 6-sigma quality levels.
Answer:embedded computers are found in cats, appliances like light switches and voic actived tvs, security cameras, dvd players and elevators
Explanation:
Reading and writing have given us both a way to pass on knowledge and learn things we cant learn first hand.<span />
Answer:
<u>Proportion </u>is the aspect in design theory that describe the relationship of one object to another object in size.
Explanation:
Proportion is an important aspect in design theory in terms of size. It refers to the relationship between object of the design in terms of size. The relation between size of different object in design theory can describe as, if the size of one object increases or decreases, it may leads to change in size of other object. It is called proportion.
If the size of one object increase with the size of other object, the relation is called direct proportion. If the size of one object decrease with the increase in size of other object is called inverse proportion.
Answer:
An algorithm is a specific procedure for solving a well-defined computational problem. ... It requires an understanding of the alternatives available for solving a computational problem, including the hardware, networking, programming language, and performance constraints that accompany any particular solution.
