1 Course Schedule IMPORTANT: ALL TIMES EASTERN - Please see the University Policies section of your Syllabus for details. Week Lecture Content Readings Activities and Assignments End / Due Date Weight (%) Week 1 Module 1 Introduction to Statistical Sciences, Probability and Statistics, and Some Definitions Collecting Data and Data Summaries Numerical Summaries Graphical Summaries Graphical Summaries Review R and other computation materials These resources can be found on the Table of Contents. ungraded Week 2 Module 1 Module 2 Graphical Summaries 3 Probability Distributions and Statistical Models, and Data Analysis and Statistical Inference 15-21, Oldford & MacKay Notes: Chapter 2, pages 1-11; Chapter 3, pages 1-6 Assignment 1 January 19, PPDAC Problem Stage PPDAC Plan Stage Processing math: 100% Week 3 Module 2 PPDAC Plan Stage: Cause and Effect and Confounding PPDAC Plan Stage: Cause and Effect and Confounding 2 PPDAC Plan Stage: Factorial Designs PPDAC Plan Stage: Factorial Designs 2 PPDAC Plan Stage: Measurement System; PPDAC Data and 72-75, Oldford & MacKay Notes: Chapter 3, pages 7-9; Chapter 4, pages 1-8 Assignment 2 January 26,
2 Analysis Stages Week 4 Module 2 Module 3 Probability Model for Sampling Probability Model for Measurement 31-43, Oldford & MacKay Notes: Chapter 5, pages 1-9 Written Assignment 1 February 2, 1 Probability Models, Poisson Distribution, Exponential Distribution, Normal (Gaussian) Distribution, Multinomial Distribution, and Models That Include Explanatory Variables Probability Models and Estimation of Parameters (Model Fitting) Estimation of Parameters (Model Fitting) 2 Estimation of Parameters (Model Fitting) 3 Week 5 Module 3 Invariance of Likelihoods Examples Newton's Method Coliform Example Likelihoods for Multinomial Data Checking Fit Histograms and ECDF's Assignment 3 February 9, Week 6 Module 3 Graphical Checks of Models Histograms and ECDF's Graphical Checks of Models QQPlots Graphical Checks of Models QQPlots , 85-90, Assignment 4 February 23, Module 4 Estimators and Interval Estimation Interval Estimation Using the Likelihood
3 Function READING WEEK (Sunday, February 14, 2016 to Saturday, February 20, 2016) Week 7 Module 4 Interval Estimation Using the Likelihood Function 2 Interval Estimation Using the Likelihood Function 3 Confidence Intervals Confidence Intervals and the χ 2 Distribution Likelihood Ratio Statistic Assignment 5 March 1, Week 8 Module 4 Inference for the G(μ, σ) Distribution, and the Student t Distribution Confidence Intervals for μ and σ Sample Size , Written Assignment 2 March 8, 1 Module 5 Introduction to Tests of Hypotheses Example of a Simple Hypothesis Brand Preference Week 9 Module 5 Hypothesis Tests in a Gaussian Distribution Likelihood Ratio Tests for a Single Parameter Composite Hypotheses: Tests of Equality of Two Parameters Tests of Equality of Two Parameters 2 Goodness of Fit Tests Poisson Example , , Assignment 6 March 15, Week 10 Module 5 Goodness of Fit Tests Gaussian Example Tests of Independence Tests of Independence , Assignment 7 March 22, Module 6 Introduction and Simple
4 Linear Regression Simple Linear Regression Week 11 Module 6 Simple Linear Regression and Analysis of Variance Checking Model Fit Tests and Confidence Intervals Confidence Intervals and Prediction Intervals Comparing the Means of Two Populations Assignment 8 March 29, Week 12 Module 6 Comparing the Variances of Two Populations; Paired Comparisons General Gaussian Response Models General Gaussian Response Models 2 Extensions of the Gaussian Response Model , Written Assignment 3 April 5, 1 Wrap-up Written Assignment 4 Friday, April 15, 1 You must achieve a final grade of at least 70% to pass this course. Final Examination Arrangements and Schedule There is no final examination for this course. Official Grades and Course Access Official Grades and Academic Standings are available through Quest. Your access to this course will continue for the duration of the current term. You will not have access to this course once the next term begins.
5 Contact Information News Your instructor uses the News widget of the Course Home page to make announcements during the term to communicate new or changing information regarding due dates, instructor absence, etc., as needed. You are expected to read the News on a regular basis. To ensure you are viewing the complete list of news items, you may need to click Show All News Items. Discussions A General Discussion topic* has also been made available to allow students to communicate with peers in the course. Your instructor may drop in at this discussion topic but will not participate in the discussions. If you have questions pertaining to a specific assignment, please post in the respective discussion topic* listed under Assignment Discussions. You may ask questions and provide hints, but please do not post full answers to assignment questions. Contact Us Who and Why Instructor Course-related questions (e.g., course content, deadlines, assignments, etc.) Questions of a personal nature Technical support with Maple, R, or LaTeX Contact Details Post your course-related questions, or questions about using R, to the Ask the Instructor discussion topic*. This allows other students to benefit from your question as well. Questions of a personal nature can be directed to your instructor. Instructor: Steve Brown Your instructor checks and the Ask the Instructor discussion topic* frequently and will make every effort to reply to your questions within hours, Monday to Friday. Before contacting your instructor, please check MATH 600 resources to see if there is an answer to your question about using Maple or LaTeX.
6 Technical Support, Centre for Extended Learning Technical problems with Waterloo LEARN Learner Support Services, Centre for Extended Learning General inquiries WatCards (Student ID Cards) Examination information Include your full name, WatIAM user ID, student number, and course name and number. Useful Information for Students in Online Courses Include your full name, WatIAM user ID, student number, and course name and number. *Discussion topics can be accessed by clicking Connect and then Discussions on the course navigation bar above.
7 Course Description and Objectives Description This course discusses some of the mathematical and scientific aspects of empirical, or data-based, problem solving. Topics will include methods for the design of experiments and surveys, and the analysis of data using statistical models. Examples will illustrate the application of these methods to data-based problems in science, health, business, and industry. Objectives Statistical Science is a large discipline, and any single course cannot cover all aspects of the discipline. Students who complete this course will be able to understand aspects of the following: formulating problems planning empirical studies formal and informal analyses of discrete and continuous data using graphical techniques and statistical models assessing conclusions based on empirical studies This online course was developed by Steve Brown, with instructional design and multimedia development support provided by the Centre for Extended Learning. Further media production was provided by Instructional Technologies and Multimedia Services.
8 About the Course Author and Instructor Course Author and Instructor K. Steve Brown Professor Brown is a biostatistician whose research interests include the development of statistical methods for the design of community-based interventions, the analysis of longitudinal data collected from studies of interventions designed to affect health behaviours, and the design and analysis of observational studies of health behaviour. His interests include design and analysis of cluster-randomized prevention trials, correlated discrete response data, generalized linear models, statistical consulting, and statistics education.
9 Materials and Resources Textbook There is no required textbook for this course. All course readings are included in Course Notes below. Course Notes Math 631 Course Notes Oldford & MacKay Stat 231 Lecture Notes Resources Library services for co-op students on work term and distance education students The text below is the companion volume to a recommended text for Math 630. It is not required for this course, but does cover much of the same material. It also expands on ideas covered in this course. Kalbfleisch, J. G. (1985). Probability and Statistical Inference, Volume 2: Statistical Inference (2nd ed.). New York: Springer-Verlag.
10 Grade Breakdown The following table represents the grade breakdown of this course. Activities and Assignments Weight Assignments ( each) 40% Written Assignments (1 each) 60% You must achieve a final grade of at least 70% to pass this course.
11 Program Policy Program Policy Students must maintain an overall average of 7 in the program, with individual course marks of at least 70%.
12 University Policies Submission Times Please be aware that the University of Waterloo is located in the Eastern Time Zone (GMT or UTC-5 during standard time and UTC-4 during daylight saving time) and, as such, the time that your activities and/or assignments are due is based on this zone. If you are outside the Eastern Time Zone and require assistance with converting your time, please try the Ontario, Canada Time Converter. Accommodation Due to Illness If your instructor has provided specific procedures for you to follow if you miss assignment due dates, term tests, or a final examination, adhere to those instructions. Otherwise: Missed Assignments/Tests/Quizzes Contact the instructor as soon as you realize there will be a problem, and preferably within 48 hours, but no more than 72 hours, have a medical practitioner complete a Verification of Illness Form. a scanned copy of the Verification of Illness Form to your instructor. In your to the instructor, provide your name, student ID number, and exactly what course activity you missed. Further information regarding Management of Requests for Accommodation Due to Illness can be found on the Accommodation due to illness page. Missed Final Examinations If you are unable to write a final examination due to illness, seek medical treatment and have a medical practitioner complete a Verification of Illness Form. a scanned copy to the Centre for Extended Learning (CEL) at within 48 hours of your missed exam. Make sure you include your name, student ID number, and the exam(s) missed. You will be REQUIRED to hand in the original completed form before you write the make-up examination. After your completed Verification of Illness Form has been received and processed, you will be ed your alternate exam date and time. This can take up to 2 business days. If you are within 150 km of Waterloo you should be prepared to write in Waterloo on the additional CEL exam dates. If you live outside the 150 km radius, CEL will work with you to make suitable arrangements. Further information about Examination Accommodation Due to Illness regulations is available in the
13 Undergraduate Calendar. Academic Integrity In order to maintain a culture of academic integrity, members of the University of Waterloo community are expected to promote honesty, trust, fairness, respect, and responsibility. If you have not already completed the online tutorial regarding academic integrity you should do so as soon as possible. Undergraduate students should see the Academic Integrity Tutorial and graduate students should see the Graduate Students and Academic Integrity website. Proper citations are part of academic integrity. Citations in CEL course materials usually follow CEL style, which is based on APA style. Your course may follow a different style. If you are uncertain which style to use for an assignment, please confirm with your instructor or TA. For further information on academic integrity, please visit the Office of Academic Integrity. Discipline A student is expected to know what constitutes academic integrity to avoid committing an academic offence, and to take responsibility for his/her actions. A student who is unsure whether an action constitutes an offence, or who needs help in learning how to avoid offences (e.g., plagiarism, cheating) or about rules for group work/collaboration, should seek guidance from the course instructor, academic advisor, or the undergraduate Associate Dean. For information on categories of offences and types of penalties, students should refer to Policy 71 - Student Discipline. For typical penalties, check Guidelines for the Assessment of Penalties. Appeals A decision made or penalty imposed under Policy 70 - Student Petitions and Grievances, (other than a petition) or Policy 71 - Student Discipline, may be appealed if there is a ground. A student who believes he/she has a ground for an appeal should refer to Policy 72 - Student Appeals. Grievance A student who believes that a decision affecting some aspect of his/her university life has been unfair or unreasonable may have grounds for initiating a grievance. Read Policy 70 - Student Petitions and Grievances, Section 4. When in doubt please be certain to contact the department s administrative assistant who will provide further assistance. Final Grades In accordance with Policy 19 - Access To and Release of Student Information, the Centre for Extended Learning
14 does not release final examination grades or final course grades to students. Students must go to Quest to see all final grades. Any grades posted in Waterloo LEARN are unofficial. AccessAbility Services AccessAbility Services, located in Needles Hall, collaborates with all academic departments to arrange appropriate accommodations for students with disabilities without compromising the academic integrity of the curriculum. If you require academic accommodation to lessen the impact of your disability, please register with AccessAbility Services at the beginning of each academic term and for each course. Accessibility Statement The Centre for Extended Learning strives to meet the needs of all our online learners. Our ongoing efforts to become aligned with the Accessibility for Ontarians with Disabilities Act (AODA) are guided by University of Waterloo AccessAbility Services Policy and the World Wide Web Consortium's (W3C) Web Content Accessibility Guidelines (WCAG) 2.0. The majority of our online courses are currently delivered via the Desire2Learn Learning Environment. Learn more about Desire2Learn s Accessibility Standards Compliance. Use of Computing and Network Resources Please see the Guidelines on Use of Waterloo Computing and Network Resources. Copyright Information UWaterloo s Web Pages All rights, including copyright, images, slides, audio, and video components, of the content of this course are owned by the course author, unless otherwise stated. These web pages are owned or controlled by the University of Waterloo, Centre for Extended Learning. By accessing the web pages, you agree that you may only download the content for your own personal, non-commercial use. You are not permitted to copy, broadcast, download, store (in any medium), transmit, show or play in public, adapt, or change in any way the content of these web pages for any other purpose whatsoever without the prior written permission of the course author and the University of Waterloo, Centre for Extended Learning. Other Sources Respect the copyright of others and abide by all copyright notices and regulations when using the computing facilities provided for your course of study by the University of Waterloo. No material on the Internet or World Wide Web may be reproduced or distributed in any material form or in any medium, without permission from copyright holders or their assignees. To support your course of study, the University of Waterloo has provided hypertext links to relevant websites, resources, and services on the web. These resources must be used in accordance with any registration requirements or conditions which may be specified. You must be aware that in
15 providing such hypertext links, the University of Waterloo has not authorized any acts (including reproduction or distribution) which, if undertaken without permission of copyright owners or their assignees, may be infringement of copyright. Permission for such acts can only be granted by copyright owners or their assignees. If there are any questions about this notice, please contact the University of Waterloo, Centre for Extended Learning, Waterloo, Ontario, Canada, N2L 3G1 or
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