Biol/Stat 2244B – Summer Evening 2017 Page 1 of 12

BIOLOGY 2244B—Analysis & Interpretation of Biological Data

and

STATISTICS 2244B—Statistics for Science

Summer Evening 2017 Calendar Descriptions Stat 2244: An introductory course in the application of statistical methods, intended for honors students in departments other than Statistical and Actuarial Sciences, Applied Mathematics, Mathematics, or students in the Faculty of Engineering. Topics include sampling, confidence intervals, analysis of variance, regression and correlation. Cannot be taken for credit in any module in Statistics, Actuarial Science, or Financial Modeling. Biol 2244: Measurement, sampling, estimation, and statistical hypothesis testing are considered: theory, intuitive background, and practical relevance will be stressed. Prerequisites: A full mathematics course, or equivalent, numbered 1000 or above. Statistical Sciences 1024A/B can be used to meet 0.5 of the 1.0 mathematics course requirement. Anti-requisites: All other courses or half courses in Introductory Statistics except Statistical Sciences 1023A/B, Statistical Sciences 2037A/B and Statistical Sciences 1024A/B. You may not receive credit if you lack a pre-requisite OR have taken an anti-requisite course. Unless you have either the requisites for this course or written special permission from your Dean to enrol in it, you may be removed from this course and it will be deleted from your record. This decision may not be appealed. You will receive no adjustment to your fees if you are dropped from a course for failing to have the necessary prerequisites.

Students registered in 2244 under ‘Biology 2244’ will have the course listed as ‘Biology 2244’ (and the associated course title, above) on their transcript; those registered under ‘Statistics 2244’ will have the course listed as ‘Statistics 2244’ (and associated course title). Occasionally, programs outside of Western question whether Biology 2244 is a statistics course. Students in this course must, therefore, think carefully about which course code/name they wish to appear on their transcripts. The naming of the course is based on registration; the course will not be changed retroactively after the add/drop deadline for the term of enrollment. If you feel that the course name and title may have an impact on future applications to schools/jobs, you need to ensure, before the add/drop deadline, that you are registered in the course with the name which will best serve your desires/needs.

Course Information Lectures: Sect 001: Mon and Wed, 6:30 pm–8:30 pm in NCB 114 Labs:

Section Day Time Location 002 Thurs 6:30–9:20 pm HSB-13 003 Thurs 6:30–9:20 pm HSB-14

Instructor Information

Name Jennifer Waugh Department Biology and Statistical & Actuarial Sciences Drop-in hours Tuesdays, 2:00 pm–4:00 pm in Collip 114 (watch for updates on OWL)

Emails Use OWL messages only (contact ‘Instructor Role’) - not UWO email

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Communicating with the Instructor Course content questions should be directed to the OWL ‘Forums’ (after you have confirmed your question has not already been posted) rather than to your instructor by OWL message. To contact the instructor directly, do not send email to my UWO email address; the OWL ‘Messages’ tool should be used to ask a personal administrative question (i.e. something not suitable to the public Forums). You can expect a response to an OWL message to the instructor or a posting to the Forum within about 48 hours during the work week (during busy times, it may take a little longer). Note that I cannot guarantee responses to Messages or Forum questions within the 24-hour period before the assessments, or over the weekends. This rule is not meant to be punitive; it is meant to encourage students to be proactive in seeking help and preparing for assessments, while also maintaining my own work-life balance. It is my expectation that you check your OWL messages and announcements on a regular basis.

Course Objectives

By the end of this course, it is my hope that you will have the ability to:

• Recognize different data collection (sampling and/or study design) procedures;

• Select, calculate, interpret, and critically evaluate numerical and graphical summaries of data;

• Identify, conduct, interpret, and critically evaluate statistical inference procedures;

• Use statistical software (R) to summarize, interpret, and analyze data;

• Critically evaluate statistical information;

• Accurately communicate interpretation, results, and understanding of statistical analysis;

• Apply concepts learned in this course to your future courses, careers, and everyday life.

A major requirement for success in this course (reinforced in lectures, labs, and tests/exams) is deep understanding of the theoretical foundations of common inference procedures. This emphasis is meant to promote careful consideration of the application and interpretation of inference procedures, and to foster the value of using procedures only when it is valid to do so—both within the confines of 2244, and in applications after completion of the course.

Required Text Resource

Baldi, B. and DS. Moore. 2013. The Practice of Statistics in the Life Sciences. 3rd Edition, W.H. Freeman and Company. The textbook is available at the UWO bookstore in several formats: an ebook (i.e. 12-month subscription to online, 2244-customized resources, including an electronic copy of the textbook, which is available when you purchase the ‘Launchpad Etext Access Code for Practice of Statistics’) and printed options (either hardcover or looseleaf formats). One of the major benefits of using the Launchpad ebook format (over a printed version) is that it shows instructor annotations directly on the text pages; these annotations provide clarification of common misunderstandings about statistics, and identify sections/concepts that can be skipped. Note that, if you prefer to purchase a printed version of the book, a Launchpad access code is automatically included in the package from the Bookstore. Several copies (6) of the hardcover textbook are also available on 1-day reserve in Taylor library. See more information about how the textbook is used in the course on the OWL course site, under Course Materials/Administration.

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Important Information

1. If you would like to make an audio recording of the lectures/tutorials in this course, you MUST ask permission first (through OWL Messages sent to ‘Instructor Role’). According to intellectual property laws, not asking permission constitutes stealing. I will NOT permit videotaping or photographing lectures under any circumstances.

2. Course material (i.e. lecture slides, videos, quizzes, practice and actual exam questions, and other supplementary material posted on OWL) is the intellectual property of your instructor and is made available to you for your personal use in this course. Sharing, posting, selling, distributing, or otherwise using this material outside of your personal use in this course is considered an infringement of intellectual property rights.

3. The course website (http://owl.uwo.ca, “BIOLOGY 2244B 002 SU17”) will be my primary method of communication with students. This course site is shared all students registered in the course under Biology 2244B and Statistics 2244B. It is your responsibility to check the website frequently. All important information (syllabus, lecture and lab material, assigned readings, quizzes, test/exam details, announcements, etc.) will be posted on the website. Outline lecture slides will be posted in .pdf format, 1 slide per page only, no later than 11:59 pm the night before lecture. Alternative file formats will not be available.

4. The Forum tool is enabled on the OWL website. Please use this Forum to post and respond to questions about course content (e.g., lecture, readings, practice questions, etc). The Forum will be monitored on a regular basis and I will interject with corrections or responses as necessary. If you message me with a course content question, I may simply direct you to look/post on the Forums. As this is an open Forum, please be respectful of one another. Derogatory, discriminatory, or otherwise inappropriate language or topics will be removed and dealt with at the instructor’s discretion.

Assessment

Your final grade will automatically be calculated to give you the highest mark possible based on the following two schemes, as well as in conjunction with the various Flexible* Grading Scenarios described later in this syllabus:

Course Component Scheme 1 Scheme 2 ‘Due Date’ Course Structure Quiz 1% 1% 11:59 pm, Sunday, June 25 Clicker Participation 5% 0% During lecture, starting June 21 Pre-Lecture Quizzes 4% 4% Weekly or more frequently; see OWL deadlines

5 Lab Assignments Highest lab

2nd & 3rd highest labs 4th & 5th highest labs

Preparation lab

22% total 6%

5% each 3% each

1% bonus

27% total 7%

6% each 4% each

1% bonus

Starting June 22; see course schedule at the end of this syllabus

for lab dates/topics

In-class Assessments* 9% total 3% each

9% total 3% each

Assessment 1: Wed, June 28 at start of lecture Assessment 2: Wed, July 5 at start of lecture

Assessment 3: Wed, July 19 at start of lecture

Test* 14% 14% Sat., July 15, 10:30 am - 12:30 pm, NS 1 Final Exam* 45% 45% During July 31-Aug 1 exam period

Course Structure Quiz: This OWL multiple choice quiz covers details from this course outline and information

from our OWL course website, and will be available from at least the first day of the term (Monday, June 19) until 11:59 pm, on Sunday, June 25. This is a non-trivial graded quiz (e.g., if you answer 7 out of 10 questions correctly, you will earn 0.7% out of the possible 1% for the quiz). No credit will be given for quizzes that are not submitted by this due date. No accommodation will be made after the deadline for any reason (e.g., technical problems or late registration in the course); attempt the quiz early during the availability period so that any problems that arise can be dealt with before the deadline. If you encounter a technical difficulty, report the problem immediately through OWL messages to the “Instructor Role” and submit a problem report to ITS

through https://servlet.uwo.ca/helpdesk/index.jsp.

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Clicker Participation: Clickers will be used in every lecture. For your clicker participation to be counted, you

must review the information on OWL under Course Materials/Administration/Clicker Registration and Setup to be sure you have set up, and use your ‘clicker’ properly. There will be a ‘trial’ class (June 19) to become familiar with the Clicker system. If you plan to use a Clicker in the course, follow the Registration and Setup instructions, and then bring your WiFi device to the trial day. Refer to the “Use of Clickers in this Course” section toward the end of this document for further details about Clicker use, and the marking scheme for clicker participation.

Pre-Lecture Quizzes: Short quizzes will be assigned and administered through the OWL ‘Tests & Quizzes’ tool;

quizzes will be administered on a roughly weekly and sometimes biweekly (i.e. twice a week) schedule throughout the course. Each Quiz will be available for a short period of time (e.g. 2 days) and will have a specific time limit for completion (e.g. 15 minutes once the quiz has been opened by the student, during the availability period); students will have one attempt to take the Quizzes anytime during the availability period. Students should expect the Quizzes to be composed of several multiple choice, true/false, or numerical response questions. The specific content (i.e. assigned textbook readings and/or LaunchPad activities, videos/activities posted to OWL) testable on each Quiz will be posted on OWL, along with the availability period. Note that Quizzes will assume understanding of previously tested/taught material, even if not explicitly stated. The quizzes are incorporated into the course to: (i) encourage students to actively complete and engage with the course material on a regular schedule; (ii) review new and previous course concepts that will be drawn upon during upcoming lectures; (iii) ensure students are prepared to get the most out of lecture; (iv) provide students with regular feedback on their understanding of fundamental course concepts. These quizzes are not intended to represent the level of difficulty or comprehension involved in labs, tests, or exams; they are testing for foundational knowledge and under-standing only. Each quiz will be assigned a specific number of ‘points’ (based on the number of questions involved) for students to collect. Quizzes will be graded for correct answers and the number of ‘points’ collected will represent the individual’s grade on the quiz. All quizzes will have a specified deadline for completion. No credit will be given for quizzes that are not submitted by the deadlines (i.e., no late submissions will be accepted). At the end of the course, the total number of ‘points’ a student has accumulated will be tallied, and expressed as a percentage out of the total number of points ‘offered’ across all quizzes presented during the course (during previous course offerings, the total points offered across the term was approximately 40; this term may be slightly more or less). This percentage of points collected by the student will be used to determine the student’s final Pre-Lecture Quiz mark for the course, using the conversion scheme presented in the table shown on the previous page. Because of the ‘flexibility’ in the grading scheme for the Quizzes (i.e. a student only needs to achieve 75% across all the Quizzes to obtain the full 4% allocated to Pre-Lecture Quizzes in the course), there are no make-up Quizzes nor accommodations for any reason (e.g. technical issues, forgotten deadlines, conflicts, etc.). Students are strongly advised to complete the Quizzes using a reliable internet connection (e.g. Ethernet as opposed to WiFi), and to not attempt the Quizzes during the last minutes of the availability period. Note also that the OWL Tests & Quizzes tool (through which Quizzes are administered) is not particularly reliable when multiple OWL course tabs are open (i.e. it is best to only have the OWL page for the quiz open when completing the quiz).

Points collected (% of total offered)

Final Pre-Lecture Quiz Mark (/4%)

0 0

0 < % collected < 25 1

25 ≤ % collected < 50 2

50 ≤ % collected < 75 3

75 ≤ % collected ≤ 100 4

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In-class Assessments: There will be three (3) In-class Assessments administered throughout the course (see

the course schedule on the last page of this syllabus for dates). These In-class Assessments are subject to the ‘Flexible Grading’ scheme presented below; as a result, there are no accommodations/make ups for students who miss the In-class Assessments (for any reason). The assessments will consist with five (5) multiple choice, exam-difficulty questions to be completed using IFaT cards (“Immediate feedback assessment technique” scratch cards) during class time, at the start of the lecture period. Students will be assigned to one of two rooms; check OWL Gradebook for your room assignment. Specific details of the testable material, information about IFAT cards, and amount of time for completion will be outlined on the OWL course site and discussed in class. The purpose of these In-class Assessments is to provide students with low-weight, regular feedback (i.e. before the higher weight Test and Final Exam) on course concepts.

Lab Assignments: There will be five, 3-hour labs throughout the term (see course schedule below) plus one

Preparation Lab (i.e. ‘Pre-Lab’) during the week of June 19, with corresponding lab assignments. Lab assignments must be completed in the lab room, using the data provided for your lab section. Occasionally, marked components of the Lab assignment may need to be completed in advance of Lab (using the OWL ‘Tests & Quizzes’) tool; information will be posted on OWL in these situations. Lab assignments are submitted electronically through the OWL course site (through the Tests & Quizzes tool) by the end of the lab period in which the lab exercise occurred. Lab assignments must be submitted by 2 hours and 50 minutes into the lab period (i.e. when the regular class period ends). No extensions will be provided. While discussion among peers is acceptable during lab periods, any assignment submitted by an individual must be written in his or her own words. If two or more similar lab assignments are discovered that do not appear to be independent work, then 0% will be recorded for each of them. NOTE CAREFULLY: The OWL ‘Tests & Quizzes’ tool is a reliable tool for submitting lab assignments, provided you follow some simple guidelines. These guidelines are posted in the ‘Labs’ page on our OWL course website. You should review these guidelines and follow them in each lab; you will have an opportunity to apply these guidelines as practice during the Preparation Lab. Failure to follow the posted guidelines may result in lost lab assignments or lost marks on assignments. No accommodation or exceptions will be made in situations where students fail to follow the guidelines. Lab attendance for assignments is mandatory and all lab assignments count towards student grades (i.e. there are no ‘dropped’ assignments). Because using statistical software is one of the learning outcomes for this course, students must attend, complete, and receive a grade for a minimum of three (3) labs to earn credit for 2244. You must attend your lab section only. If you miss a lab, you will not be permitted to attend another lab section or make up the missed lab. For any missed lab, you must obtain recommendation for academic accommodation from your Dean’s Office, otherwise a grade of zero (0) will be awarded. Up to two (2) missed and accommodated labs will have their weighting(s) (starting with the lowest weighting) calculated as the average mark for the other three completed lab assignments. If more than two (2) labs are missed with appropriate accommodation, the student will be issued a course grade of ‘incomplete’ and will be required to make up the remaining missed and accommodated labs in the next offering of the course. No accommodation will be granted for the 1% bonus if the Pre-Lab (during the week of June 19) is missed for any reason. More information on requirements for the Pre-Lab 1% bonus will be posted on OWL. To receive full credit for a lab assignment, you must be present at the beginning of the lab period when attendance is taken; this requires signing the attendance sheet as a record of your presence and the time you arrived. It is YOUR responsibility to ensure you signed the attendance sheet in proper time. If you arrive and sign-in at lab up to 30 minutes late (i.e., sign the attendance sheet late, but within the first 30 minutes), you will receive a 20% penalty on that lab assignment grade; in other words, your highest possible grade on that lab would be 80%. If you arrive and/or sign-in at lab more than 30 minutes late, and/or fail to sign the attendance sheet at all, your assignment grade will not be recorded and you will receive no credit for the lab assignment even if you complete the lab (TAs/instructors are not able to vouch for student presence in lab).

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There are no exceptions to this policy because the first 30 minutes in lab involve an introductory talk, instructions for the lab, and/or data collection. To be successful on the lab, it is imperative that you are present for these activities/instructions so you understand the lab, how the data were generated, and the software. Labs are cumulative in the sense that each lab assignment assumes knowledge of the concepts and R steps/output from previous labs and lectures. Should you miss a lab, it is your responsibility to work through the assignment on your own with relevant lab data posted on OWL. If you have questions about lab assignment grading after you have carefully reviewed the feedback provided with your marked assignment, please follow the process for asking “grading questions” outlined on the OWL course website under “Course Materials/Labs/Grading Questions Process & Deadlines.” Grading questions/concerns for a given assignment will only be addressed within the one week after the graded assignment has been returned electronically (a schedule of the grading period will be made available on the Labs page on OWL, indicating when each graded lab assignment will be returned; the one-week period will start upon return of each graded assignment). This one-week period for inquiries is intended to encourage students to make timely use of feedback on their assignments and ensure help is sought in a proactive manner. Lab exemptions for repeating students: Students who are repeating Biology/Statistics 2244 (i.e. have taken 2244 as either Biology 2244A, Biology 2244B, Statistics 2244A, or Statistics 2244B any term starting with the Fall 2014 term are eligible for a lab ‘exemption’ (this means that students who took the course before Fall 2014 are not eligible for the exemption). Eligible students who are repeating the course have the option of using their lab grades (all Assignments 1 to 5) from the previous time they took the course as their grades for the five individual lab assignments (plus Pre-Lab bonus if applicable) for this current term (this is an ‘all or nothing’ exemption). Choosing to use the previous year’s lab grades is referred to as a “lab exemption”. If you have previously taken and completed 2244A/B in Fall 2014 or later, and are consequently repeating the course, you must read the information titled, “Lab exemption for repeating students”, posted on the OWL course website under ‘Course Materials/Administration. You must also complete a ‘Lab exemption form for repeating students’ through the OWL course site by 11:59 pm on Sunday, June 25 (More information about this form is provided under the information for ‘Lab exemption for repeating students’ on OWL). Eligible students who choose to be exempt from Labs are STILL responsible for ensuring that they review and understand the Lab material and assignments, as they will be held accountable for this material on Tests and/or exams. Exemption from Labs will not be accepted as a basis for appeal for poor performance on, and/or failure to answer course components that relate (either directly or indirectly) to that component of the course. Lab exemption students are invited to contact the instructor to arrange to review lab assignment material if they wish; be sure to make this request in a timely manner (i.e. not right before a Test/Exam).

Test: There will be one 2-hour, cumulative Test (Saturday, July 15th, 10:30 am – 12:30 pm). The Test will

consist of 17-20 exam-difficulty multiple choice questions (the specific number depends on the complexity of material tested and estimated time required to answer the questions; the exact number of questions will be posted to OWL with other relevant details closer to the Test date). Students who fail to write the Test for any reason must receive academic accommodation for their absence; otherwise, a grade of zero will be awarded for failing to write the Test.

Final Exam: The Final Exam is a cumulative 3-hour exam consisting of 45-multiple choice questions. The exam

will be held during the Summer Evening term exam period (July 31-August 1) and will be scheduled by the Registrar’s Office. Do not book travel (or other plans) during this time period until the exam schedule is finalized. Flexible Grading: The In-class Assessments (“ICA”), Test, and Final Exam have flexible weightings, dependent on your success for each component. Each In-class Assessment, Test, and the Final Exam is initially worth a set amount of your final grade (see Scenario 1 below). However, your final course grade will automatically be

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calculated under each of the following scenarios (S1-S9); whichever scenario gives you the highest final course grade will be used when submitting your course grade:

Item S1 S2 S3 S4 S5 S6 S7 S8 S9

ICA 1 3% 0% 3% 3% 0% 0% 3% 0% 0% ICA 2 3% 4.5% 0% 3% 0% 5% 0% 0% 0% ICA 3 3% 4.5% 5% 0% 5% 0% 0% 0% 0% Test 14% 14% 14% 14% 14% 14% 14% 14% 0% Final 45% 45% 46% 48% 49% 46% 51% 54% 68%

The purpose behind the Flexible Grading scheme is to provide you with multiple opportunities during the course for feedback on your understanding of course material under exam-style conditions. Allowing the weight of the assessments to be reduced or dropped completely (depending on the Scenario, above) means that—if you discover that your understanding is not complete or you perform below your desired level of success during the assessment/test—you still have other opportunities to improve on your achievement for that component of the course grade on subsequent assessments (i.e. after you seek additional help/clarification to improve your mastery of the material). Because all assessments in this course are cumulative, the relative weighting of ‘early’ versus ‘late’ course material will be approximately equivalent under each scenario (this is achieved by always shifting the weight of early assessments onto later assessments, i.e. ICA1 gets shifted to ICA2 and ICA3, or ICA2 gets shifted to ICA3 and the Final Exam). Note that there are no make-ups for In-Class Assessments, nor accommodations for missing any of the In-Class Assessments. You do not need to obtain documentation or request accommodation for your absence for the In-Class Assessments. Your grade will automatically be calculated under all scenarios and the highest grade will be submitted at the end of the course.

Comments on Assessments

Students should expect the Quizzes, In-class Assessments, the Test, and Final Exam to include questions derived from content discussed or taught during lectures, labs, assigned readings/activities, and any supplementary material posted by your Instructor to the course website. A more detailed breakdown on coverage for each Assessment will be posted to OWL prior to the Assessment. Non-programmable calculators are permitted for use during the In-class Assessments, Test and Final Exam. No other aids are allowed. Cellular phones, iPods, and other similar technology are not permitted in the test/exam room. This means that cellular phones, iPods, and other similar technology cannot be used as a timekeeper/clock, calculator, or for any other purpose. The Quizzes are “open-book” in the sense that you are welcome to use your textbook and course notes (plus a calculator) as needed. Keep in mind, though, that the expectation is that you complete these assessments independently (i.e., no help from anyone in or outside the course). I strongly encourage students to complete these Assessments under ‘exam-style’ conditions (i.e. closed book, no collaboration) to obtain a more representative picture of your preparation and understanding. It is Faculty of Science policy that a student who chooses to write a test or exam deems themselves fit enough to do so, and the student must accept the mark obtained. Claims of medical, physical, or emotional distress after the fact will not be considered. The Course Structure Quiz, Quizzes, In-class Assessments, Test, Labs, Clickers, and Exam will not be re-weighted (outside of the Flexible Grading already described) to accommodate perceived poor performance on any assessment in this course, nor for any absence(s) which I have not been recommended to accommodate

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by an academic counselor. Additional assignments will not be accepted in lieu of a missed or lost Assessment, or to account for perceived poor performance on any graded component of this course. No special rounding rules (e.g. to meet GPA cut-offs, minimal requirements for programs/continuation, desired grades, etc.) are applied in this course when calculating final grades. There are no exceptions to this policy.

Assigned readings

A complete list of assigned material from the textbook will be posted on the course website for each lecture ‘topic’; students are expected to complete all assigned material. However, only some of this material will be directly testable on a given Pre-Lecture Quiz; this subset will be identified with the quiz description. ‘Assigned’ means that you are expected to understand the material; while some of the material may be discussed in lecture, this is not guaranteed. All assigned reading material (i.e. that tested on Quizzes, as well as other assigned material from each lecture topic) is testable on the Labs, Quizzes, In-Class Assessments, Tests, and Exams. Be sure to review the Annotations in the etext as you progress through the assigned material.

Advice for Success in this Course

• Read this course syllabus in its entirety and understand the policies; • Explore the course website thoroughly to understand what material and resources are available to you; • Attend class regularly, participate (use a Clicker and answer questions!) and take notes; • Complete textbook readings/activities on schedule; • Complete the Pre-Lecture Quizzes, and Lab Data Collections by the deadlines; • Complete the In-class Assessments and Test under the assumption that they will be worth their full

amount (that is, prepare for, and work hard to succeed on each); • Prepare in advance for and attend labs, and work through the lab assignments thoughtfully; • Follow the guidelines posted to OWL on the Lab page for successful completion of lab assignments; • Practice! Work through at least some of the suggested textbook/LaunchPad exercises immediately after

lecture to make sure you understand the basic concepts. The course is cumulative in the sense that every new concept introduced depends on earlier material. You need to study and do practice problems frequently (not just in the week before the Tests/Exams) to keep up in the course. As Test/Exam dates approach, switch from textbook questions to the sample exam-style problems that will be posted on OWL;

• Take advantage of the help available & ask questions (lectures, labs, drop-in hours, forums) on a regular basis.

Extra Help

• In-Class Assessments/Test/Exam questions: Sets of previous test/exam questions will be posted on OWL for your practice prior to the Tests and Exams; bring your questions to drop-in hours or post to the Forum;

• Instructor’s drop-in hours: These are (informal) periods to ask questions, discuss concepts, and/or work in the presence of your instructor. I encourage collaboration among all students who come to see me during drop-in hours, so think of these as small, friendly tutorials customized to address whichever questions/ideas students have at the time.

• Forums on OWL: This is an open discussion board for posting course material related questions, and responding to each other’s questions. Your Instructor will always review and address (as necessary) all postings.

Support Services

Learning-skills counsellors at the Student Development Centre (http://www.sdc.uwo.ca) are ready to help you improve your learning skills. They offer presentations on strategies for improving time management, multiple-choice exam preparation/writing, textbook reading, and more. Individual support is offered

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throughout the Fall/Winter terms in the drop-in Learning Help Centre, and year-round through individual counselling. Students who are in emotional/mental distress should refer to Mental Health@Western (http://www.health.uwo.ca/mental_health) for a complete list of options about how to obtain help. Additional student-run support services are offered by the USC, http://westernusc.ca/services. The website for Registrarial Services is http://www.registrar.uwo.ca.

Policy for missed Tests/Exams

If you are unable to meet a course requirement due to illness or other serious circumstances, you must provide valid medical or supporting documentation to an Academic Counselor in your Faculty’s Dean's office as soon as possible, and contact your instructor immediately (especially for a missed Exam). If you are a Science student, the Academic Counselling Office of the Faculty of Science is located in WSC 140, and can be contacted at 519-661-3040 or scibmsac@uwo.ca. Their website is http://www.uwo.ca/sci/undergrad/academic_counselling/index.html A student requiring academic accommodation due to illness must use the Student Medical Certificate (https://studentservices.uwo.ca/secure/medical_document.pdf) when visiting an off-campus medical facility. For further information, please consult the university’s medical illness policy at http://www.uwo.ca/univsec/pdf/academic_policies/appeals/accommodation_medical.pdf If you miss the Final Exam, please contact your faculty’s Academic Counselling Office as soon as you are able to do so. They will assess your eligibility to write the Special Exam (the name given by the university to a makeup Final Exam). You may also be eligible to write the Special Exam if you are in a “Multiple Exam Situation” (see http://www.registrar.uwo.ca/examinations/exam_schedule.html). Students who miss a graded component in this course and do not receive appropriate accommodation from their Dean’s Office will be awarded a ‘0%’ for that component. There are no exceptions to this policy. Note: This applies to the Labs, the Test, and Final Exam. Refer to the above descriptions of the other 2244 assessment components for exceptions to this policy (i.e. Quizzes, Clicker participation, In-Class Assessments)

Classroom Environment

The Department of Statistical and Actuarial Sciences has adopted a "Mutual Expectations" policy governing the classroom environment and all work submitted by students. The full text of the policy can be found at: http://www.stats.uwo.ca/modules/undergraduate/index.php?id=12. In summary, the policy was developed under the premise that all interactions between students and faculty should be governed by the principles of courtesy, respect and honesty.

Scholastic Offenses

Absolutely no cheating on the Lab assignments, Quizzes, and Tests/Exams will be tolerated. Scholastic offences are taken seriously and students are directed to read the appropriate policy, specifically, the definition of what constitutes a Scholastic Offence, at this website: http://www.uwo.ca/univsec/pdf/academic_policies/appeals/scholastic_discipline_undergrad.pdf Computer-graded multiple-choice quizzes/exams may be subject to submission for similarity review by software that will check for unusual coincidences in answer patterns that may indicate cheating.

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During tests/exams, proctors will inspect all personal belongings on your desk (and even your baseball cap if you are wearing one). If any items are discovered that are not permitted (e.g. any electronic device other than a non-programmable calculator, or notes) they will be confiscated and the incident will be officially reported as an academic offence. Proctors have the discretion to move students between desks during the Tests or Exam periods.

Clicker Use in this Course

A “clicker” is a small radiofrequency transmitter that resembles a TV remote (purchasable from the Bookstore), or, a browser page or application opened on a personal WiFi device (e.g. a smartphone, tablet, or laptop). In class, instructors can ask a variety of structured questions to which you may respond by pressing the appropriate button on your respective device. Individual responses are collected and summarized in a graph at the front of the room. If the instructor chooses, individual responses may also be saved for future analysis. In 2244, clickers will be used primarily to promote engagement and evaluate student understanding during class. They will also provide you with credit and feedback on your lecture preparation and/or participation. The information below provides further details. Clickers For Biol/Stat 2244, we subscribe to and use clicker software produced by iClicker (formerly Reef Education) because it is the company supported by the University’s technology services. For this course, students can therefore participate with a clicker in ONE way: by bringing and using the app on their own WiFi-enabled device (e.g. a smartphone, tablet, laptop, etc). Clicker Responsibility It is your responsibility to ensure that your clicker is functioning properly (i.e. that your log in/registration is properly set up and maintained). The course is also not responsible and therefore, no accommodation will be made, for WiFi failure. I will endeavor to post your current Clicker ‘record’ to OWL’s Gradebook on a regular basis during the term (announcements will be made when new updates are posted). Monitor this record throughout the course to confirm your clicker responses are being received and be sure to deal with any concerns about your clicker record immediately. Clicker Academic Record

Your clicker use will be recorded in lecture and will become part of your academic record. As such, your clicker record will be afforded the same degree of security, confidentiality and transparency that is customary for test marks, etc. Note that it is considered an academic offense to answer a question with someone else’s virtual clicker in class.

Clicker questions will be asked during lecture. The proportion of questions that you answered will determine the fraction of the available clicker participation grade (5%) that you earned, as shown in the table at right. Some classes will have more or fewer questions; when I compute clicker grades, I will ensure that each class is weighted equally regardless of number of questions asked during a class (i.e., if you miss a 5-question class, you won’t be missing more toward your clicker grade than if you missed a 2-question class instead). Clicker participation only requires that you try; you do not have to get the questions right to get this part of your course grade. Notice that you can miss up to 20% of the clicker questions for any reason without affecting your grade; this ‘buffer’ accounts for any technical problems that may arise during the course, as well as days on which you forgot your clicker or had to miss or were late for class/left early. Please note that no accommodation will be made for missed clicker participation or incorrectly registered clicker IDs. Your

% Questions answered Final Clicker Mark (/5%)

0 0

0 < % answered < 20 1 20 ≤ % answered < 40 2 40 ≤ % answered < 60 3 60 ≤ % answered < 80 4

80 ≤ % answered ≤ 100 5

Biol/Stat 2244B – Summer Evening 2017 Page 11 of 12

clicker participation mark will be calculated based solely on the data in my records. Consequently, it is imperative that you monitor your clicker mark throughout the term when updates are posted and deal with concerns as soon as they arise.

Research

Your clicker data will not be used for any non-academic or research purpose without your consent. For any research study in which you are invited to participate, you will be provided with a Letter of Information with an opportunity to give or withhold consent. Such research will not replace the usual end of term Course Evaluation given by the University. Academic Integrity

Use of a clicker associated with a UserID other than your own is an academic offense. Granting permission for someone else to submit answers on your behalf in your absence is an academic offence. In a test, lab, lecture, or tutorial, possession of more than one clicker, or one associated with the UserID of another student, will be interpreted as intent to commit an academic offense and will be reported as such. This means that it will be considered an academic offense to answer a question with two or more clickers accounts in class.

Accessibility Statement

Please contact the course instructors if you require material in an alternate format or if you require any other arrangements to make this course more accessible to you. You may also wish to contact Services for Students with Disabilities (SSD) at 661-2111 x 82147 for any specific question regarding an accommodation.

Biol/Stat 2244B – Summer Evening 2017 Page 12 of 12

Course Schedule

This is the tentative schedule for course topics. Some adjustments may be made as the course progresses, depending on the rate at which individual topics are covered. At certain points during the term, you will be responsible for covering some course material on your own time (e.g. through readings or posted videos/resources). Pre-Lecture Quiz due dates are subject to change based on progression through course; treat these as estimated dates only. Watch for announcements on OWL/in class.

Date Tentative Topics Important Reminders/Preparation

Mon, June 19 Introduction to course Sampling Strategies

• Clicker trial day: Set-up your account in advance

Wed, June 21

Study Design Descriptive Statistics

• Pre-Lecture Quiz A due before lecture

• Clicker participation starts counting Thurs, June 22 Pre-Lab (1% Bonus) • Come to your assigned lab room with Pre-Lab handout Mon, June 26

Probability Binomial Distributions

• Pre-Lecture Quiz B due before lecture

Wed, June 28 Binomial Distribution (cont’d) Normal Distributions

• Pre-Lecture Quiz C due before lecture • In-class assessment (3%) at 6:30 pm • Data collection for Lab 1 due by midnight

Thurs, June 29 Lab 1: Descriptive Statistics • Mon, July 3 Sampling Distributions

Introduction to confidence intervals • Pre-Lecture Quiz D due before lecture

Wed, July 5 Confidence Intervals for mu (μ) Confidence Interval for p

• Pre-Lecture Quiz E due before lecture

• In-class assessment (3%) at 6:30 pm

• Data collection for Lab 2 due by midnight

Thurs, July 6 Lab 2: Probability and Distributions Mon, July 10 Introduction to Hypothesis Testing • Pre-Lecture Quiz F due before lecture Wed, July 12 Hypothesis Test for p

Hypothesis Tests for mu (μ) • Data collection for Lab 3 due by midnight

Thurs, July 13 Lab 3: Confidence Intervals

Sat, July 15 Low Risk Test (14%) at 10:30 am-12:30 pm, NS 1

Mon, July 17 Two‐Sample Inference for mu Two-Sample Inference for p

• Pre-Lecture Quiz G due before lecture

Wed, July 19 Correlation (Independent Study) Regression

• Pre-Lecture Quiz H due before lecture

• In-class assessment (3%) at 6:30 pm

• Data collection for Lab 4 due by midnight

Thurs, July 20 Lab 4: Hypothesis Tests

Mon, July 24 One Factor ANOVA • Pre-Lecture Quiz I due before lecture

Wed, July 26 One Factor ANOVA (cont’d) Post-hoc tests

• Data collection for Lab 5 due by midnight

Thurs, July 27 Lab 5: Regression and ANOVA

July 31-Aug 1 Final Exam (45%) Summer Evening Term Exam Period (do not book travel during this time)