1. Oehlert Solution Manual
2. Oehlert Solutions Manual
3. Oehlert Solution Manual

STAT 506: Introduction to Experimental Design, Spring 2017

A First Course in Design and Analysis of Experiments Author(s): Gary W. Oehlert File Specification Extension PDF Pages 680 Size 3.85 MB. Request Sample Email. Explain Submit Request We try to make prices affordable. Contact us to negotiate about price. If you have any questions, contact us here. Related posts: Design and Analysis of Experiments – Douglas Montgomery Solutions Manual for. Design-analysis-of-experiments-solution-manual 1/24 Downloaded from pink.wickedlocal.com on May 13, 2021 by guest Download Design Analysis Of Experiments Solution Manual When somebody should go to the book stores, search foundation by shop, shelf by shelf, it is truly problematic. This is why we offer the ebook compilations in this website.

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Instructor: Tim Hanson. E-mail: hansont@stat.sc.edu.
Office Hours: Tuesday/Thursday 10am to 11am, and by appointment. I am also available by Skype.
Office: 219C LeConte College, (803) 777-3859.
Class Meeting: Tuesday/Thursday 8:30am-9:45am in WMBB Nursing room 409 or online.
Textbook: A First Course in Design and Analysis of Experiments, by Gary W. Oehlert.
Video link for STAT 506.
Prerequisites: MATH 122 or MATH 142 or STAT 201. I am assuming some familiarity with probability and statistics at the STAT 201 level, e.g. exposure to the normal distribution, simple hypothesis testing, p-values, etc. If you have not had any probability or statistics you can learn the basics by reading through lectures 5-13 on my STAT 205 webpage.

Course description

We will cover a good portion of A First Course in Design and Analysis of Experiments, by Gary W. Oehlert. Timetable:

One week: Chapters 1 and 2: introduction, randomization, paired and two-sample tests, introduction to R.
Three weeks: Chapters 3, 4, 5, and 6: completely randomized designs, one-way ANOVA, contrasts, multiple comparisons, checking assumptions.
Three weeks: Chapters 7, 8, 9, and 10: power and sample size, factorial treatment structure.
Two weeks: Chapters 11 and 12: random effects, mixed effects, nesting.
Three weeks: Chapters 13, 14, and 15: complete blocks, incomplete blocks, and confounding.
One week: Chapters 16 and 17: split plot designs, repeated measures, ANCOVA.
One week: Chapter 18: fractional factorial designs.

Learning outcomes

Learning Outcomes: by the end of the course students should be able to:
► Understand the benefits and limitations of common experimental designs;
► Plan a sound experimental design, including the use of orthogonality, randomization, blocking, and replication (through a sample size analysis);
► Plan a practical experimental design, including the use of parsimonious methods when experimental resources are limited;
► Analyze factorial experiments using exploratory data analysis, informal and formal inferential methods; and

Oehlert Solution Manual

► Communicate experimental designs to technical and non-technical audiences.

Expectations

All students are expected to:

► Attend or view all class sessions. Live class attendance, for those who can do so, is highly appreciated - this includes distance students calling in with live questions during the lecture. I understand that this is not possible for some of you. You are encouraged to use a computer during class to 'play along' as we go.
► Review lecture required reading and/or notes before class. Handouts (if any) and course notes will be posted on the course webpage the day before each class.
► Attempt all of the assigned homework problems and email them to the TA by noon on the due date. Start homework SOON after it is assigned; this is especially true in a class involving computing. Do not email me about the assignment the night before it is due.

Textbook and reading

(1) Oehlert, G. (2010). A First Course in Design and Analysis of Experiments, freely available as PDF. Thanks Prof. Oehlert! (2) Course notes. These notes are adapted from Dr. Oehlert's course notes, my own notes from STAT 704-705 and STAT 205, and notes from Drs. Edwards, Grego, and Lynch in the Statistics Department.

Lectures

You may (a) attend the live class in person, or (b) watch it live via web-streaming from any remote site, with call-in or instant-message capability for real-time questions, and/or (c) watch the recorded class later with rewind, pause, and fast-forward tools. Recordings will be posted within 24 hours of the class as files which can be viewed anytime. The ID is statistics (lowercase) and the password is ARTS#2016 (uppercase, no space). You can watch live at home during class time through web conferencing via Adobe Connect.

Computing

The textbook uses a program called MacAnova, which although free is not commonly used. We will use the free R computing software. I will try to give enough examples for you to complete your homework assignments as we go; please let me know if you would like to see additional examples on any subject.

Accommodations for disabilities

If you require special accommodations for a disability, these must be arranged in advance through the Office of Student Disability Services in room 112A LeConte (777-6142, TDD 777-6744, sasds@mailbox.sc.edu).

Homework

Homework will be posted on the class website at least one week in advance of the due date; there will be about 5 to 10 homeworks. Send your homework solutions by e-mail as a single file in MS Word or PDF format to the Teaching Assistant Xichen Mou (xmou@email.sc.edu) with 'STAT 506 Homework' in the subject line (do not cc this email to me) by noon on the due date. Use only one side of each page, put your name on every page, and use page numbers. Any handwriting on papers must be clearly legible on the received paper after scanning - do not use soft pencil.

Grading

The minimum percent needed for each grade is: A 90% B+ 87% B 80% C+ 77% C 70% D 60%. Those with a final course percentage under 60% receive an F.

Honor Code

The official honor code is the Carolinian Creed in the Carolina Community: Student Handbook & Policy Guide. If you violate the honor code, I am required to report the case to the University's academic integrity office. If you are 'found responsible' in the ensuing deliberations, the penalty will be at least a letter grade in the course. Examples of honor code violations include but are not limited to: copying, or allowing someone else to copy, solutions to assignments; posing as another student to do assignments or exams; hiring or persuading someone else to do assignments in your place, etc. The whole point of this is to learn! Do not treat the course as an 'obstacle' to overcome; treat it as an opportunity to learn a broad variety of experimental designs and accompanying analysis methods, as well as deepening your understanding of statistics.

Some additional comments

► Working together on homework problems is permitted and encouraged, but each student should write up his/her solutions independently of others (this will help you develop understanding). I will make available a voluntary email list of course participants so that you may contact each other regarding homework, etc. This is strictly voluntary; I will announce this during the first lecture.
► The distance aspect of this course affords you the flexibility to attend class at your own convenience. However, I have found that students who are not disciplined will fall behind in attendance. Stay current with the lectures! Attending live (in class) or streaming is preferred. If you watch lecture later, it helps to have a set schedule, e.g. watch at the same times each week. Re-watching portions of a lecture can help with difficult concepts. If you have questions, attend office hours, make an appointment to meet me, or email me. I can also make a Skype appointment if you live far away from campus.

• Announcements (latest 11/22/02)
• Information onfinal exam (updated 12/17/02)
• Assignments(Assignment 12 posted)
• Solutions toHomework (through HW 12)
• Solutions toExams (Solutions to Midterm 2 posted)
• Handouts (updated 12/11/02 with two handouts)
• Sample Exams (New)
• Frequently Asked Computing Questions(updated 11/07/02)
• MacAnova Macros (New)
• Class notes(Lecture 41 (12/13/02) posted, revisedversion)
• Data files (New data set 12/13/02)

Information on final exam
I have posted general information on the final examination (PDF file). You are expected to download FinalData.dat (FinalData.dat.txt) containing two data sets to be analyzed prior to the in-class examination on December 21.

I have posted a slightly modifiedversion of this which clarifies how the meat samples were selected.

Announcements (latest11/22/02)

• The amount expected on assignment 9 has been reduced. See the updated assignment sheet (PDF version) for details.
• The due date for Assignment 9 was dropped to Monday, 11/25/02.
  The due date for Assignment 10 will be Wednesday, 11/27/02
• I have posted an errata sheet for Oehlert's book.
• The midquarter exam is being slipped until November 18. If thatcauses a conflict, please let me know.
• 10/21/02 I found a typo in data set pr8.4 in data fileOeCh08.dat (OeCh08.dat.txt).It has now been corrected.
• 10/1/02. The first midterm exam has been rescheduledto Monday October 14. It will covermaterial through Chapter 7 in Oehlert, including any additional materialon these topics presented in lecture.
• 9/12/02 The due date for assignment 1 has been moved back to Monday,September 16.
• 9/6/02: I have added a link to a page ofFrequently Asked Computing Questions.
• 9/4/02: The course has been officially closed for some time. Experienceindicates, but does not guarantee that places will open up as studentschange their minds about taking Stat 5303. If you have been unable toget in, you should put your name on the waiting list (call Dana Tinsley,612-625-8046) and, more importantly, keep trying.

InstructorChristopher (Kit)Bingham

146E Classroom Office Bldg (612-625-7023) and 372 Ford Hall(612-625-1024)
Email: kb@umn.edu
Office hours after start of semester 11:35 - 12:35, MWF, 146E ClaOff

Teaching Assistant Lifeng Wang

Email: iamwlf@stat.umn.edu
Office hours: Tuesday 10:00-12:00, 146K Classroom Office Building, St. Paul

Lecture: MWF 10:40-11:30 a.m., ClaOff B36 in St. Paul.

Lab: Thursday 10:40-11:35m ClaOff 135 (computer lab)

The lab will meet Thursday, September5. The lab will be spent on getting aquainted with MacAnova, thecomputer program you will be using this semester. If you have your owncomputer, you should download the latest version from http://www.stat.umn.edu/macanova/download.html.

Textbook

Required
Gary W. Oehlert, A First Course in Design and Analysis of Experiments, W. H. Freeman, 2000

See the Course Information sheet (PDFversion) for moreinformation about coverage, computer use and course policies.

Also download Introductionto MacAnova. It may also be available as a course packet.

You will need the freeware program Acrobat Reader (Acroread) to readthis and other course documents. If you don't have it, you can downloadit from http://www.adobe.com/products/acrobat/readstep2.html.

Very Tentative Examination schedule

Oehlert Solutions Manual

First Midterm Examination	Monday, October 7, 2002
Second Midterm Examination	Monday, November 11, 2002
Final Examination (official time)	Saturday, December 21, 2002, 1:30-3:30 pm

Assignments

Assignment 1	PDF file
Assignment 2	PDF file
Assignment 3	PDF file
Assignment 4	PDF file
Assignment 5	PDF file
Assignment 6	PDF file
Assignment 7	PDF file
Assignment 8	PDF file
Assignment 9	PDF file
Assignment 10	PDF file
Assignment 11	PDF file
Assignment 12	PDF file

Solutions to Homeworks 1 - 12 are now available for downloading. They are in the form of PDF documentsprepared by Lifeng Wang. To access solutions, you will need the samepassword as required for class notes.

Exam solutions

• Midterm Exam 1 Solutions (PDF file).
• Midterm Exam 2 Solutions (PDF file).

Handouts

• Analysis of Completely Randomized Designs (PDF file)
• Checking ANOVA Assumptions(PDF file)
• More practice using MacAnova(PDF file)
• Various MacAnova Topics (PDF file)
• Finding Sample Sizes and Power (PDF file)
• Factorial Treatment Structure(PDF file; expansion of 10/10lab handout)
• More onFactorial Treatment Structure, corrected version of October 17 lab handout(PDF file)
• One Degree of Freedomfor Nonadditivity, a corrected and extended version of the October23 lab handout (PDF file)
• Examples of the Analysis of Unbalanced Data (Corrected PDF file)
• Unreplicated 2-series Factorial Data (PDF file )
• Examples of Random Effect ANOVA (PDF file)
• Examples of Mixed Effects ANOVA (PDF file )
• Analysis of Randomized Complete Block Designs (PDF file, 11/21/02)
• Examples of the Analysis of Latin Squares (PDF file, 11/21/02)
• Example of the Analysis of BIBD (PDF file, 12/02/02), data set BIBData.dat (BIBData.dat.txt)
• Split Plot Examples (PDF file, 12/05/02)
• Analysis of Confounded Two-Series Factorials (PDF file, 12/11/02), data sets confound.dat (confound.dat.txt)
• Fractional Replicate of Factorial Design (PDF file, 12/11/02) data sets FractionalRep.dat (FractionalRep.dat.txt)

Sample Exams

• Sample Second Midterm Exam
• Samewith solutions

Errors in Textbook

There are some errors in Oehlert's text. Some of them have beencollected in a PDFfile. In particular this contains a correction to the sums ofsquares provided in Exercise 10.1.

Frequently Asked Computing Questions

I have posted a web page for FrequentlyAsked Computing Questions. I expect many of these will concernMacAnova, but other issues may come up.

Topics as of 10/6/02

• Accessing Acrobat PDF Files (9/7/02)
• Printing neat ANOVA tables (10/1/02)
• Why am I getting an error message when I use contrast()? (10/1/02)
• What does boxcox() do? (10/1/02)
• What are Cook's D, HII and rankits? (10/1/02)
• How can I compute the power of a test of a contrast? (10/3/02)
• Choice of weights to define a contrast that involves more than 2 treatments (10/3/02)
• Query on Exercise 6.6 (10/6/02)
• Query on Ex. 7.5 (10/8/02)
• Is there a easy way to identify the most extreme outliers? (10/28/02)
• How can I create factors for treatments in standard order? (11/08/02)

MacAnova Macros

I will post here any new MacAnova macros you may find useful.

• File type2anova.mac (or type2anova.mac.txt) contains macro type2anova(). It computes ANOVA tables with Type II SS (revised version posted 8:00 11/4/02).
  Typical usage:
  Cmd> type2anova('y=a*b*c',fstat:T)
  In place of 'y=a*b*c' you can use any ANOVA model as long as it has no 'aliased' columns (missing degrees of freedom).

Before using a macro file, you should run the following command:

Oehlert Solution Manual

This will bring up a file navigation dialog box. You should find themacro file and select it and click on Open or OK. Then you can use anymacro in the file normally.

Class notes and overheads

Within a few days after most lectures, I will post on the web edited copies of the overheads used. You can download them from http://www.stat.umn.edu/~kb/classes/5303/classnotes.html.You will need the special user name and password announced in class toaccess them.

Please let me know if you have any problem reading them. You willneed a special user name and password provided in class to accessthem.

Data Files

Oehlert data sets
All of the data used in the text is available in computer readableform. You can download data in several forms from http://www.stat.umn.edu/~kb/5303/oehlertdatafiles.html.If you have your own computer, you will probably find it convenient todownload a complete set of files to keep on your hard drive. They willall fit on a single 1.44M floppy disk.

Other data sets

Data	File to download
File of carbonwire data from Anderson and Bancroft	carbonwire.dat carbonwire.dat.txt
File with data set carton3 containing Carton Experiment 3 artificial data for Oehlert Example 11.2	carton.dat carton.dat.txt
File with data set stomata containing data set used in the sample second mid term exam	stomata.dat stomata.dat.txt
File with data set fisherdata used in the handout on RCB analysis	CRBData.dat CRBData.dat.txt
File with data sets kirkdata and milkdata used in handout on analysis of Latin squares	LatinSqData.dat LatinSqData.dat.txt
File with data set weardata used in the handout on BIB analysis	BIBData.dat BIBData.dat.txt
File with data set sandt from Steele and Torrie used in the Lecture 38 (12/06/02) as an example of a split plot experiment	sandt.dat sandt.dat.txt
File with data sets cochcoxtab6.8 and johndata used in the handout on confounding	confound.dat confound.dat.txt
File with data sets data1 and data2 used in the handout on fractional replication	FractionalRep.dat FractionalRep.dat.txt
File with data sets tastemeat and activity to be analyzed before the final exam on 12/21/02	FinalData.dat FinalData.dat.txt