Cleveland State University Department of Mathematics Syllabus Design and Analysis of Experiments MTH 436 (section 51)/593 (section 50) Spring 2015 Course Meeting Times and Location Class Time: Tue Thu 4:00-­‐5:50 pm Class Room: RT 1501 Instructor Contact Information Name: Ariadni Papana, PhD Office: Rhodes Tower 1508 Phone: 216-­‐523-­‐7158 E-­‐mail: a.papanadagiasis@csuohio.edu Office Hours: Tue Thu 11:20 AM -­‐ 1:10 PM or 5:50 – 6:10 PM by appointment Course Description: STAT 436/593 is a one-­‐semester course that provides a review of basic statistical concepts and a comprehensive introduction to statistical methods of designing experiments and analyzing data. MTH 593 is a four credit-­‐
hour course; MTH 436 is a three credit-­‐hour course. A variety of experimental designs are covered, and regression analysis is presented as the primary technique for analyzing data from designed experiments, and in discriminating between various possible statistical models. A background course in statistical methods (descriptive statistics techniques, normal distribution, introduction to confidence intervals and hypothesis testing for means and variances) is required. MTH 593 Prerequisite: MTH 567 or permission form the instructor for MTH 593. MTH 436 Prerequisite: A grade of C or better in MTH 347, or MTH 323 or MTH 421 or MTH 431 or MTH 435 or ECN 322 or permission form the instructor for MTH 493. Goals and Objectives: At the end of the semester, you will be trained in statistical modeling and in the choice of experimental designs to use in scientific investigations. More specifically, you will become proficient in • summarizing data both graphically and numerically • understanding reliable and unreliable means of collecting data • comprehending the concept of sampling variability • understanding the concept of statistical significance • understanding material on completely randomized single –factor experiments and analysis of variance •
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understanding factorial and fractional factorial designs understanding regression modeling and response surfaces understanding random effects, nested and split-­‐plot designs. conducting appropriate transformations understanding unbalanced factorial experiments, analysis of covariance and repeated measures. Text: Design and Analysis of Experiments, 8th ed., Montgomery & class notes provided by the instructor. Course Outline: Chapter 1: Introduction to DOE Chapter 2: Simple Comparative Experiments (t-­‐test etc) Chapter 3: ANOVA-­‐ model checking, sample size, regression approach Chapter 4: Randomized Complete Block Design (RCBD) Chapter 5.1-­‐5.6: Introduction to Factorial Designs Chapter 6.1-­‐6.6: 2k Factorial Design Chapter 7.1-­‐7.6 Blocking and confounding in the 2k factorial designs Chapter 8.1-­‐ 8.5 Two-­‐level fractional factorial designs Chapter 10: Regression models Chapter 11: Response Surface methods Chapter 13: Random effects model ASSESSMENT AND GRADING Course components Statistics is made up of numerous graded and ungraded activities listed below. These are the practice problems, homework assignments, midterm exams, final exam and presentations. Note: I strongly suggest that students retain all graded work from the course until the end of the semester and final grades are posted. This way if a discrepancy arises between a recorded grade and the actual grade, we have the actual document to examine in order to rectify the situation. Graded works make for excellent study materials for upcoming exams. Homework: Homework will consist of Practice Problems and Homework Assignments. Practice Problems will be assigned, but these will not be graded and will not be required to be handed in. You are recommended to complete these problems. Homework Assignments will be assigned in advance, collected and graded. For these assignments, all work must be shown to receive credit. The homework deadline will be strictly adhered to. No excuses for not completing an assignment on time will be accepted. A deduction of 10 points per day (weekends count as one day) will result assignments turned in after 4pm of the due date. You should expect approximately 6 homeworks. This will usually consists of a computer analysis of data and a written report that answers specific questions. Assignments will require the use of Minitab and must be typed in Word. I will take the average score of the all homework assignments and count it towards the total. Extra credit problems may be given and these are optional. Presentation/Project: MTH 593 students will have to work on the presentation component. Presentations are not required for MTH 436 students. MTH 593 students need to complete a team-­‐presentation by the end of the semester. The presentation should involve designing, conducting and presenting the results of a statistically designed experiment. The presentation should be presented in written form (report) and orally (PowerPoint presentation) by each team. More details TBA in class. Examinations: For MTH436 students: one midterm and a final in-­‐class examination. For MTH 593 students: two in-­‐class midterm examinations and a final examination Some parts of the exams might be assigned as a take-­‐home test. Examinations will cover material discussed in class or explicitly stated in the text. In addition, some techniques or procedures will be taught in class differently than what appears in the text. You are responsible for all material covered in class or assigned outside of class. Knowledge of the textbook alone is not sufficient. You must notify me prior to missing an exam. Make up exams are not guaranteed. Cell phone calculators are not permitted for use on exams. A grade of 55% or higher on the final examination is required in order to pass the class. Take-­‐home Exams: There might be a take home component to the Exams and that will require use of software. A deduction of 10 points per day (weekends count as one day) will result for take home examinations turned in after 4pm of the due date. Extra Credit Opportunities: You may earn extra credit by presenting solutions to optional. Labs: We will be meeting in the computer lab RT 1501. For the lab sessions, you will be asked to complete a series of short answer questions. Grades Grading Policy: Your course grade will be determined by the following components as indicated: MTH 593 Homework: 25% MTH 436 Exam1: 20% Homework: 30% Exam 2: 20% Midterm Exam: 25% Final Exam: 20% Final Exam: 25% Presentation: 15% Final grades will be assigned as follows: MTH 593 Percentage Letter grade 93% or higher A 90%-­‐92.9% A-­‐ 87%-­‐89.9% B+ 83%-­‐86.9% B 80%-­‐82.9% B-­‐ 70%-­‐76.9% C below 70% F MTH 436 Percentage 92.0-­‐100% 90.0-­‐91.9% 88.0-­‐89.9% 82.0-­‐87.9% 80.0-­‐81.9% 78.0-­‐79.9% 70.0-­‐77.9% 60.0-­‐69.9% 0.0-­‐59.9% Letter grade A A-­‐ B+ B B-­‐ C+ C D F Subjective factors considered when grading could include (but are not limited to): class participation, homework performance, and wide differentiation of scores on individual parts of the required material. TECHNOLOGY and SUPPLIES Class Conduct: Please bring a scientific calculator to each class. A notebook with a 3 ring binder is suggested, as there will be handouts for the classes. I assume all of you have an email address. A flash-­‐drive is recommended. You will need access to the internet outside of class. Additional handouts may be supplied in class; you are responsible for receiving and keeping these materials. Cell phones should be turned off. Text messaging during class is not appropriate and grounds for removal from class. During computer lab sessions, checking email and surfing the web is inappropriate when the instructor is talking and again grounds for removal from the class. Computer Technology: The graded homework assignments/projects and take-­‐
home examinations will require the use of computer software. I will provide directions on making the software perform the desired task. Learning how to use the software is a part of the course. We will be using the Minitab software system. Computing: A statistical computing package will be required to complete the homework. Examples will be demonstrating using Minitab. Other appropriate statistics packages may be used with APPROVAL. Blackboard Learn will be my primary means of communicating with you. I will be using Blackboard to make announcements; post data sets, class notes, handouts, assignments and other course content; make changes to the syllabus or assignments. Check it regularly! Do NOT email me within Blackboard but use the email address given in the syllabus. Collaboration Policy: It is okay to discuss which technique to use (presuming that each person contributes to the discussion!) and to compare the final answer, but I want each person to make an individual effort in communicating the results of the probabilistic or statistical analysis. Course Policies: Attendance: I will take attendance every class. Attendance is strongly encouraged. Cheating and Plagiarism Cheating and/or plagiarism will not be tolerated. You are cheating if you allow a student to copy work from one of your assignments. It is also cheating if you assist a student complete a take home assignment. Cheating is also not permitted on in-­‐class exams. If cheating occurs, the student will receive a grade of 0 for that component of the course. Information regarding the official CSU policy regarding cheating and plagiarism can be found in the CSU Code of Student Conduct at http://www.csuohio.edu/studentlife/StudentCodeOfConduct2004.pdf Disruptive Behavior: Disruptive behavior will not be tolerated. Disruptive behavior is behavior that interferes with the workplace or classroom and the ability of others to get their work done. All cell phones should be turned-­‐off or placed on vibrate during class. Text messaging during class is not appropriate and grounds for removal from class. During computer lab sessions, checking email and surfing the web is inappropriate when the instructor is talking and again grounds for removal from the class. In case you need to leave the class prior to the scheduled time you should inform the instructor before the class starts. Please, make sure you come on time. Disabilities Statement Students with disabilities which may affect their ability to complete course requirements in this class may request appropriate accommodations by registering with the Office of Disability Services at (216) 687-­‐
2015 in Main Classroom 147 and discussing the nature of their situation (www.csuohio.edu/offices/disability/). Math Learning Center If you need (free) mathematical tutoring, contact the Mathematics Learning Center at Main Classroom Building MC http://www.csuohio.edu/sciences/mathematics/mathematics-­‐department 230 or 216-­‐687-­‐4543 (http://www.csuohio.edu/sciences/mathematics/mathematics-­‐
department). Disclaimer: The instructor reserves the right to make any changes she considers academically advisable. It is the student’s responsibility to attend classes and keep track of the proceedings. Tentative Schedule for Spring 2015, MTH 436/593 Note: The lecture schedule may change during the semester. Week Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week 10 Week 11 Week 12 Week 13 Topic 1/13, 1/15 1/20, 1/22 1/27,1/29 2/3, 2/5 2/10, 2/12 2/17, 2/19 2/24, 2/26 3/3, 3/5 3/10, 3/12 3/17, 3/19 3/24, 3/26 3/31, 4/2 4/7, 4/9 Week 14 Week 15 Week 16 Week 17 4/14, 4/16 4/21, 4/23 4/28, 4/30 5/5 , 4:00-­‐6:00PM Chapter 1-­‐2 Chapter 1-­‐2 Chapter 3 Chapter 3, 4 Chapter 4, 5 Chapter 5 Review & Exam 1: MTH 436, MTH 593 Chapter 6 Spring break Chapter 7 Chapter 8 Chapter 10-­‐11 Review & Final exam MTH 436 Exam 2: MTH 593 Chapter 11-­‐12 presentations presentations Final Exam MTH 593 Important Dates
Last Day to Join a Course Waitlist
January 16, 2015
Last Day to Drop with Full Refund
January 16, 2015
Last Day to Add (CampusNet Registration)
January 18, 2015
Last Day to Drop
January 23, 2015
Last Day to Withdraw from Courses
March 27, 2015
Last Day of Classes
May 1, 2015
Martin Luther King Day (University Holiday)
January 19, 2015
President's Day (University Holiday)
February 16, 2015