A significance test is used to prevent a machine from under filling or overfilling quart bottles. On the basis of a sample ...

There is always a risk (or chance, or probability) associated in making Type I error. What is this risk called and how it is indicated in a diagram of the standard normal curve?

A significance test is used to prevent a machine from under filling or overfilling quart bottles. On the basis of a sample, the null hypothesis is rejected and the machine is shut down for inspection. A thorough examination reveals there is nothing wrong with the filling machine. From a statistical standpoint, was there a “type” error made? If yes, which type? Explain.