2. You work at a manufacturing plant and just led the revamping of a process that produces a very large quantity of a certain essential part. Your boss believes that your job was faulty and that the revamped process is currently producing defective parts. The company standard is to consider a process as faulty if in the long run1 over 2% of parts being produced are defective, your boss precisely thinks this is the case here (remember 2% is equal to a proportion of 0.02). You want to refute this claim and thus go out to collect a random sample of the parts being produced. You observe the next 1000 parts produced, which you can assume indeed represent a random sample, 17 out of those 1000 are defective. a. Set up the null hypothesis Ho and the alternative hypothesis HA for this test. b. Calculate the test statistic for this test. 0. Find the appropriate z-value if you want to carry out this test at the 95% condence level. d. Evaluate the result of this hypothesis test. What can you conclude about the newly revamped process