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Course outline spring 2020...

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STATS 2B03: Statistical Methods for Science SPRING 2020 McMaster University Calendar Description STATS 2B03 - Statistical Methods for Science 3 unit(s) Applied statistics, with emphasis on inferential methods relevant to the environmental and life sciences. Use of a computer statistics package. Three lectures, one lab; one term. Prerequisite(s): One of Grade 12 Data Management U, STATS 1A03, 1L03 or registration in Level II or above of a program in the Faculty of Science Not open to students with credit or registration in ARTSSCI 2R03, COMMERCE 2QA3, EARTHSC 2MB3, ECON 2B03, ENVIRSC 2MB3, GEOG 2MB3, HTHSCI 1F03, 2A03, KINESIOL 3C03, PNB 2XE3, STATS 2D03, 2MA3, 2MB3.

Contact: instructor: Forrest Paton email: [email protected] website: https://avenue.mcmaster.ca/ group chat/ virtual room: Microsoft teams

Learning objectives: • Build foundation for statistical reasoning, inference, and prediction • Introduce basic Data Science/ analysis topics: data visualisations, R, tidyverse

Major topics: R, Inferential/ Descriptive Statistics, Data Types, Probability, Random Variables, Binomial Distribution, Normal Distribution, Central Limit Theorem, Confidence Intervals, Hypothesis Tests, Linear Regression, Anova, Chi Square Tests.

Special note for this term: Many thanks for reading; wishing everyone a safe and successful semester during these unusual circumstances. Note this is the tentative format. Please carefully read below: All required materials will be available online to consume on your own time. Replacing lecture times will be virtual labs and office hours. The virtual sessions will be done through Microsoft Teams and links will be posted on the avenue course page. 1

(Instructor) Office Hours: • Tuesdays at 7:00 PM (about 2 hours) • For general questions • Please also post questions in the MS teams chat (this will be checked regularly by the TAs and myself ). (TA) Office Hours: • TBA during the first week of class (Optional) Labs: • Thursdays at 7:00 PM (about 1-2 hours) • For weekly review of current topics: Assignment/ Labs/ Midterm Review/ Final Review • Optional (but recommended if you are not very strong in course topics) (Tentative) Important Dates: • Assignment 1, due 11:59PM, May 22nd • Midterm, 7:00-8:00PM, May 28th • Assignment 2, due 11:59PM, June 5th 12th • Final Exam 7:00 - 9:30 PM, June 18th

Marking scheme: • Assignments (2 x 20% each): 40% • Midterm (1 x 25%): 25% • Final exam: 35% Late work: 20% penalty per day for late assignments. Submitting assignments/ tests: Submission of assignments and tests will be done through the avenue coursepage and crowdmark. More details (including specific requirements) will be announced later. Participation: While the labs are optional, they are highly recommended. There will be live coding and questions done every week. It will also be a good way to gauge your progress in the course. Posting questions and answers in Microsoft teams is also highly encouraged.

Software: We will use the open source statistical software: R. Available for download: https://cran.r-project.org/. The IDE RStudio is also highly recommended: https://rstudio.com 2

Approximate Schedule: Week 1 2

Introduction Basic Probability

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Normal Distribution

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Hypothesis Testing Central Limit Theorem + Approximate methods

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Chi-Square

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Review

Intro to R/ RStudio Binomial t-distribution + Assignment 1 Due Midterm Confidence Intervals Regression/ANOVA + Assignment 2 Due Final Exam

References: Required text: none (all required materials will be provided). Optional reference text: Biostatistics for the Biological and Health Sciences, 2nd Edition, by Triola, Triola, andRoy. Published by Pearson.

Calculator You will need a calculator. The Casio fx-991 MS is recommended; however, any similar one is fine.

Necessary Details: Online testing tools This course may use proctoring software (TBD) for tests/exams. This software may require you to turn on your video camera, present identification, monitor and record your computer activities, and lockdown your browser during the exam. This software may be required to be installed before the exam begins. If you have questions about whether this software will be used, or concerns about the use of this software, please contact your instructor.

Online course behaviour McMaster is committed to an inclusive and respectful community. These principles and expectations extend to online activities including electronic chat groups, video calls and other learning platforms. If you are concerned about your virtual classroom experiences, the Equity and Inclusion Office (EIO) is available to advise and assist students who may be experiencing any equity, accessibility, inclusion, harassment, discrimination or sexual violence concerns. You can reach the EIO at [email protected]. Thank you for joining us in ensuring that our McMaster online communities are spaces where no one feels excluded and everyone is able to enjoy learning together.

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Important message The instructor and university reserve the right to modify elements of the course during the term. The university may change the dates and deadlines for any or all courses in extreme circumstances. If either type of modification becomes necessary, reasonable notice and communication with the students will be given with explanation and the opportunity to comment on changes. It is the responsibility of the student to check their McMaster email and course websites weekly during the term and to note any changes.

Academic Dishonesty You are expected to exhibit honesty and use ethical behaviour in all aspects of the learning process. Academic credentials you earn are rooted in principles of honesty and academic integrity. It is your responsibility to understand what constitutes academic dishonesty. For information on the various types of academic dishonesty please refer to the Academic Integrity Policy, located at www.mcmaster. ca/academicintegrity.

Missed academic work: For missing work, please refer to McMaster’s policy.

Academic Accommodation for Students with Disabilities Students with disabilities who require academic accommodation must contact Student Accessibility Services (SAS) to make arrangements with a Program Coordinator. Student Accessibility Services can be contacted by phone 905-525-9140 ext. 28652 or e-mail [email protected]. For further information, consult McMaster University’s Academic Accommodation of Students with Disabilities policy.

Academic Accommodation for Religious, Indigenous or Spiritual Observances Students requiring academic accommodation based on religious, indigenous or spiritual observances should follow the procedures set out in the RISO policy. Students should also contact their instructors as soon as possible to make alternative arrangements for classes, assignments, and tests.

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