Designing trials with convincing results is essential if suppliers want to convince mining companies of the benefit of their products and services. In statistics, a result is considered convincing if it is “significant”. Significance, is a way of measuring the probability that the result could have occurred by chance.

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In this casestudy, power analysis has been used to determine the number of intact rock strength samples required to detect a “significant” difference between conditioned (blast damaged) and undamaged samples. Power analysis demonstrated that rock with a UCS of 160 MPa, and standard deviation of 10 MPa, requires at least 25 conditioned (damaged) and 25 undamaged samples to achieve less than a 10% probability that a result could have occurred by chance (Power > 90%).This enabled decision makers to have confidence that proceeding with the trial would generate convincing results.

Independent Sample