Week 4 DQ 2

Why does the significance level differ among industries? Will the null hypothesis be more likely to be rejected at ? than ? ? As the significance level increases to ? from ? , which type error is more likely to occur? What can be done to reduce the likelihood of incurring this error?

The significance level differs among industries depending on their individual guidelines and specifications. One might not require the same amount as the other thus the need for accurate testing and results. Sticking to the specifications is important for the safety of everyone. Rules are made so that people are not hurt and if they are they will be compensated accordingly. I believe that the null hypothesis would be more likely to be rejected at .10 than .01. By...