Null hypothesis could be
Type I error is when is true but rejected
Type II error is when is false but not rejected
My name is Resa, and I am currentley taking online classes. I am taking a Data Analysis class which is centered around statistical data. I am lost in this class so any help will be greatly appreciated.
The vice president of operations for a veterinarysupply company has designed a new quality control process that she believeswill significantly reduce the reject rate in the packing line for bottles ofequine glucosamine from its historical level of 32 units per 1,000. She nowwants to implement a pilot of this process and use it to see whether the datasupport her belief.
•What is the null hypothesis for this test?•In the context of this scenario, what would be theconsequences of making a Type I error?
•In the context of this scenario, what would be theconsequences of making a Type II error?