STUDYING FOR EXAM II
Thursday March 10, 9:20-10:30 a.m.
NOTE: Be sure to review all the handouts, notes and homework from class. Following is a list of
topics/objectives which might be useful. Make sure to bring your tables and a calculator.
CHAPTER 5: STATISTICAL BASIS FOR SHEWART CONTROL CHARTS FOR VARIABLE DATA
Be able to explain the connection between hypothesis testing and control charts.
Be able to describe Type I and Type II errors in the context of control charts.
Be able to give the general form of Shewart control charts.
Be able to describe the general Shewart control procedure.
Given any significance level (α or σ), be able to find the corresponding Xbar control limits.
Given Rbar or sbar be able to estimate the process standard deviation.
Be able to determine Type I (false alarm rate) and Type II error rates for Shewart control charts.
CHAPTER 6: CONSTRUCTION AND INTERPRETATION OF SHEWART CONTROL CHARTS
Be able to set up Xbar, R, and s charts and be able to describe process behavior using these plots.
Be able to use the eight tests to determine whether or not a process is in control.
Be able to explain how the seven quality tools are used in quality improvement efforts.
CHAPTER 7: IMPORTANCE OF RATIONAL SAMPLING
Be able to explain the concept of rational subgroup and how it should be formed.
Be able to explain what stratification is and its effect on control charts.
Be able to explain what mixing is and its effect on control charts.
Be able to describe the situations where a distributed sampling versus consecutive sampling
might be appropriate.
CHAPTER 8: INTERPRETATION OF CONTROL CHARTS
Be able to describe process behavior using control charts.
CHAPTER 9: PROCESS CAPABILITY ASSESSMENT
Be able to explain the difference between control limits and specification limits.
Be able to use capability indices. Be able to explain the assumptions behind these indices.
Given specification limits, be able to determine defective rate.
Be able to determine component and assembly tolerances.
Be able to find the mean and variance of functions of random variables.