Statistical analysis is essential to identifying the critical factors in simulation. Performing the analysis of variance is to ensure the proper selection of significant factors. With this, understanding and judgment become more effective in making appropriate decisions regarding the product and process designs.
The purpose of statistical analysis is to determine the normal (probable) behavior of a simulation and distinguish it from abnormal (improbable) behavior of a system. In other words, we want to distinguish what happens commonly from what merely happens by chance.
For example, if our simulation models traffic and a truck flips over on the freeway, a statistical analysis would determine whether such an accident happens often or if this was simply an unlucky day for the driver and the accident happened by chance.
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It can be, but it is also a statistical distribution in its own right - on which the test is based.
Statistical analysis is a method of studying large amounts of business data and reporting overall trends. Single data is studied instead of a cross-section of data.
It is called demographics.
1. Which research methodology requires researchers to gather data and information that can be converted to numbers for statistical analysis?
http://en.wikipedia.org/wiki/Statistical_power