This is the act of assessing statistics ( information, facts and figures ) and then analysing the information to identify patterns or trends.
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You know nothing about how to use statistical analysis to verify or test validity, do u.
In statistical analysis, the range is the lowest to highest score. The median is the exact middle, and the mean is the numerical average.
Statistical tools are tool which are purposively make or are use for data collection and analysis in research methodology. E.g destriptive. mean. standard deviation. chi_square e.t.c
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.
It can be, but it is also a statistical distribution in its own right - on which the test is based.