
Statistical Data
Hello,
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?

Re: Statistical Data
Null hypothesis could be $\displaystyle H_0: p < \frac{32}{1000}$
Type I error is when $\displaystyle H_0$ is true but rejected
Type II error is when $\displaystyle H_0$ is false but not rejected