how can a type ii error be minimized 
it is not possible to fully prevent committing a type ii error but the risk can be minimized by increasing the sample size however doing so will also increase the risk of committing a type i error instead the bottom linein statistics a type ii error results in a false negative meaning that there is a finding but it has been missed in the analysis or that the null hypothesis is not rejected when it ought to have been a type ii error can occur if there is not enough power in statistical tests often resulting from sample sizes that are too small increasing the sample size can help reduce the chances of committing a type ii error type ii errors can be contrasted with type i errors which are false positives 