Publisher's Synopsis
Statistical significance refers to the claim that a result from data generated by testing or experimentation is not likely to occur randomly or by chance but is instead likely to be attributable to a specific cause. Statistical significance calculations find their way into scientific and engineering tests of all kinds, from medical tests with the control group and a testing group to the analysis of how strong a newly made batch of parts is. Those same calculations are also used in investment decisions.
This book goes through all the major types of statistical significance calculations, and works through an example using them, and explains when you would use that specific type instead of one of the others.