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STATISTICS 513 - SPRING 2004

STATISTICAL QUALITY CONTROL

  STAT 513 syllabus   general class syllabus   scores   schedule  

 

  • PREPARATION

    • Make sure you are registered into this course.  If you are enrolled at Purdue University North Central (PNC), you can use SOLAR to do this.

    • Create (validate) your WebCT account. Create (validate), then log on to Blackboard for this course between Monday, January 12 and Friday, January 16 by 4am (yes, 4am!).  If you cannot create a WebCT account, look at the instructions first and then, if this fails, contact me immediately.  If you fail to create a WebCT account by 4 am (yes, 4am!) (West Lafayette, Indiana time), Friday, January 16, I will not permit you to take this internet course.

    • Buy A TI-83 Calculator.  Buy either the TI-83 (or TI-83 plus, or TI-83 silver edition) calculator.  

    • Buy the main text from the PNC bookstore or amazon.com: Statistical Control Theory (4th Edition).  The (optional) solution manual is also useful.  There are also two (optional) technical manuals used on the statistical programming language, SAS, you might want to buy.

    • Check out both the STAT 513 syllabus and the general class syllabus

    • Check out frequently asked questions asked by students.

    • Check out previous course material for previous quizzes, scores, student evaluations and other course material.

    • If you are anxious to start before the semester begins, download "attendance1.pdf", "attendance2.pdf", ..., "attendance14.pdf" given below and start answering the questions.  The homework questions, "hmk1.pdf", ..., "hmk7.pdf" are also given below for you start working on, if you wish.  You cannot send me--I will not accept--your answers, though, unless you submit them through WebCT.  All answers must be submitted through WebCT; WebCT allows me to not only keep track of the material you submit but also allows me to grade your submissions.

    •  

  • WEEK 1. January 12, 14

    Chapter 1. Quality Improvement in the Modern Business Environment

    Part I.  Statistical Methods Useful in Quality Improvement

    Chapter 2. Modeling Process Quality

    • attendance1.pdf is a document which gives questions based on the lecture given this week.  It is for your information; it is not handed in.

    • Answer the questions from hmk1.pdf  The homework 1 assignment is selected at random for you by Blackboard on or before 4 am (West Lafayette, Indiana time) Friday, January 23.  Use the WebCT quiz/homework link to submit your homework assignment; do not use the WebCT email to send me your homework assignment!  Submit as many times as you want before the deadline, and receive the highest score of all the submissions.

    • TI83-lab1.pdf is a document which gives a list of all the TI-83 instructions used this week.  It is for your information; it is not handed in.

    • SAS-lab1.pdf is a document which gives a list of all the TI-83 instructions used this week.  It is for your information; it is not handed in.

    • Check how you did on your homework assignment by looking your score up at scores after 9 pm (West Lafayette, Indiana time) Friday January 23.  Use your ID number to locate your score under the column H1.

    •  

  • Martin Luther King Holiday, January 19

    •  

  • WEEK 2. January 21

    Part I.  Statistical Methods Useful in Quality Improvement

    Chapter 3.  Inferences about Process Quality

    • attendance2.pdf not handed in.

    • The Blackboard quiz 1 to be done on or before 4 am Friday, January 30.  One 20 minute timed submission is allowed; each student does the quiz by themselves with no help from others.

    • Check out practice quiz1.pdf  questions to help you prepare for this quiz; these questions are not handed in.

    • TI83-lab2.pdf not handed in.

    • SAS-lab2.pdf not handed in.

    • Check how you did on your quiz by looking your score up at scores after 9 pm (West Lafayette, Indiana time) Friday January 30.   Use your ID number to locate your total score, which is given in the third-to-last column under TT, and your current grade, which is given under the next-to-last column under G.

    •  

  • WEEK 3. January 26, 28

    Part II. Basic Methods of Statistical Process Control and Capability Analysis

    Chapter 4. Methods and Philosophy of Statistical Process Control

  • WEEK 7. February 23, 25

    Part III. Other Statistical Process Monitoring and Control Techniques

    Chapter 8. Cumulative Sum and Exponentially Weighted Moving Average Control Charts

  • WEEK 9. March 8, 10

    Part III. Other Statistical Process Monitoring and Control Techniques

    Chapter 10. Multivariate Process Monitoring and Control

  • WEEK 10. March 15, 17

    • Mid-semester Break, March 14-20

  • WEEK 11. March 22, 24

    Part III. Other Statistical Process Monitoring and Control Techniques

    Chapter 11. Engineering Process Control and SPC

  • WEEK 12. March 29, 31

    Part IV. Process Design and Improvement with Designed Experiments

    Chapter 12. Factorial and Fractional Factorial Experiments for Process Design and Improvement