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Solution manual Advanced Engineering Mathematics (9th Ed., Erwin Kreyszig)
Solution manual Advanced Engineering Mathematics (10th Ed., Erwin Kreyszig)
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Solution manual Introduction to Abstract Algebra with Notes to the Future Teacher
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Solution manual A Modern Introduction to Differential Equations (2nd Ed., Henry J.
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Solution manual Calculus for Scientists and Engineers : Early Transcendentals -
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Solution manual and Test Bank Calculus : A Complete Course (8th Ed., Robert A. Adams,
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Solution manual Calculus (10th Ed., Anton, Bivens & Davis)
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Solution manual Calculus : Early Transcendentals Combined (9th Ed., Anton, Bivens &
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Solution manual Measurement and Data Analysis for Engineering and Science (Patrick F
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Solution manual Elementary Linear Algebra (4th Ed., Stephen Andrilli & David Hecker)
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Solution manual Boundary Value Problems and Partial Differential Equations (6th Ed.,
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Solution manual Introductory Statistics : Using Technology (5th Ed., Prem S. Mann)
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Solution manual Introductory Statistics for the Behavioral Sciences (6th Ed.,
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Solution manual Statistics : Principles and Methods (5th Ed., Richard Johnson)
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Solution manual Statistics : Principles and Methods (7th Ed., Richard A. Johnson,
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Solution manual Parameter Estimation and Inverse Problems (2nd Ed., Richard Aster,
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Solution manual How to Read and Do Proofs : An Introduction to Mathematical Thought
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Solution manual Probability, Statistics, and Random Processes for Engineers (4th Ed.,
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Solution manual Probability, Statistics, and Random Processes For Electrical
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Solution manual Probability Concepts in Engineering : Emphasis on Applications to
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Solution manual Applied Statistics for Engineers and Physical Scientists (3rd Ed.,
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Solution manual Applied Statistics and Probability for Engineers (3rd Ed., Montgomery
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Solution manual Engineering Statistics (3rd Ed., Montgomery, Runger & Hubele)
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Solution manual Statistical Quality Control : A Modern Introduction - International
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Solution manual Calculus : One Variables (10th Ed., Salas, Hille, Etgen)
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Solution manual Calculus : One and Several Variables (10th Ed., Salas, Hille, Etgen)
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Solution manual Technical Mathematics (5th Ed., Paul Calter & Michael Calter)
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Solution manual Technical Mathematics with Calculus (5th Ed., Paul Calter & Michael
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Solution manual Technical Mathematics with Calculus, Canadian Edition (Paul Calter &
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Solution manual Technical Mathematics with Calculus, 2nd Canadian Edition (Paul
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Solution manual Technical Mathematics with Calculus (6th Ed., Paul Calter & Michael
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Solution manual Design and Analysis of Experiments (6th Ed., Douglas Montgomery)
Solution manual Design and Analysis of Experiments (7th Ed., Douglas Montgomery)
Solution manual Design and Analysis of Experiments (8th Ed., Douglas Montgomery)
Solution Manual Experimental Methods for Engineers (8th Ed., Jack P. Holman)
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Solution manual Introduction to Engineering Experimentation (3rd Ed., Wheeler &
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Solution manual Essential Statistics for Economics, Business and Management (Teresa
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Solution manual Statistics and Econometrics : Methods and Applications (Ashenfelter,
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Solution manual Applied Combinatorics (5th Ed., Alan Tucker)
Solution manual Applied Combinatorics (6th Ed., Alan Tucker)
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Solution manual Mathematical Modeling (4th Ed., Mark Meerschaert)
Solution manual Discrete Mathematics : Mathematical Reasoning and Proof with Puzzles,
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Solution manual Probability, Random Variables and Random Signal Principles (4th Ed.,
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Solution manual Numerical Methods for Engineers and Scientists : An Introduction with
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Solution manual Numerical Methods for Engineers and Scientists : An Introduction with
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Solution manual Numerical Methods for Engineers and Scientists : An Introduction with
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Solution manual MATLAB : An Introduction with Applications (2nd Ed., Amos Gilat)
Solution manual MATLAB : An Introduction with Applications (3rd Ed., Amos Gilat)
Solution manual MATLAB : An Introduction with Applications (4th Ed., Amos Gilat)
Solution manual MATLAB : An Introduction with Applications (5th Ed., Amos Gilat)
Solution manual Matlab : A Practical Introduction to Programming and Problem Solving
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Solution manual Matlab : A Practical Introduction to Programming and Problem Solving
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Solution manual Matlab : A Practical Introduction to Programming and Problem Solving
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Solution manual Data, Statistics, and Decision Models with Excel (Harnett & Horrell)
Solution manual Understanding Analysis (Stephen Abbott)
Solution manual Understanding Analysis (2nd Ed., Stephen Abbott)
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Solution manual Time Series Analysis and Its Applications : With R Examples (2nd Ed.,
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Solution manual Spreadsheet Tools for Engineers using Excel (2nd Ed. Byron Gottfried)
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Solution manual Introduction to Matlab 6 for Engineers (1st Ed., William Palm III)
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Solution manual Introduction to Matlab for Engineers (3rd Ed., William Palm III)
Solution manual A Concise Introduction to MATLAB (William J Palm III)
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Solution manual Numerical Methods for Engineers (4th Ed. Steven Chapra, Raymond
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Solution manual Applied Numerical Methods with MATLAB for Engineers and Scientists
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Solution manual MATLAB for Engineers (1st Ed., Holly Moore)
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Solution manual Essential Statistics (William Navidi & Barry Monk)
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Solution manual Principles of Statistics for Engineers and Scientists (William
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Solution manual Elementary Statistics (1st Ed., William Navidi, Barry Monk)
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Solution manual An Introduction to Stochastic Modeling (3rd Ed., Samuel Karlin &
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Solution manual Introduction to Probability Models (9th Ed., Sheldon Ross)
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Solution manual Introduction to Probability and Statistics for Engineers and
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Solution manual Basic Mathematics through Applications (4th Ed. by Akst, Bragg)
Solution manual Developmental Mathematics (6th Ed., Bittinger & Beecher)
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Solution manual Developmental Mathematics : Basic Mathematics and Algebra (1st Ed.,
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contact me to : m...@g...com mattosbw1(at)gmail.com
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STAT 506: Introduction to Experimental Design, Spring 2017
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
► 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.