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Interpret statistical data

community models are truly best- and worst-case, this chart can be read as follows: the
tests show, with 95-percent confidence, that between 100 and 200 users can access the

stem while experiencing acceptable performance.

be 100-percent confident that the test

results accurately represent the model being tested.

be understood so that correct performance-testing analysis and reporting can be

done.

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Although a confidence interval of between 100 and 200 users might seem quite large, it is
important to note that without empirical data representing the actual production usage,
is unreasonable to expect higher confidence in results than there is in the models that
generate those results. The best that one can do is to

Summary

Members of software development teams, developers, testers, administrators, and
managers alike need to know how to apply mathematics and interpret statistical data in
order to do their jobs effectively. Performance analysis and reporting are particularly
math-intensive. It is critical that mathematical and statistical concepts in performance
testing