The decision to reject a null hypothesis based on the comparison of the probability of observing the data if the null hypothesis is true (p-value) and the probability that a Type 1 (alpha) error can occur. A Type 1 error is the probability of rejecting the null hypothesis when it is really true.
Statistically significant
Share / Follow
Recent Blogs
The Dream of the 90s is Alive at CBER
OraSure's at-home HIV test delivers on 20 years of effort
In-Vehicle Diagnostics
Assessing the bold future of automotive medicine
Great New Companion Diagnostics E-Book Released Today
A valuable resource in a hot, but under-informed segment of the market
Oragene Clearance Shows DNA Stabilization is Class II
Clearance could have a significant impact on DTCG providers
