STAT1793 Introduction to Probability and Statistics I Fall 2024 PDF

STAT1793: Introduction to Probability and Statistics I Fall 2024 : Course Syllabus About the Course Course Description (UNB Academic Calendar 2024-25) https://www.unb.ca/academics/calendar/undergraduate/current/saint-john- courses/statistics/index.html Concepts of population and sample, data colle...

STAT1793: Introduction to Probability and Statistics I Fall 2024 : Course Syllabus About the Course Course Description (UNB Academic Calendar 2024-25) https://www.unb.ca/academics/calendar/undergraduate/current/saint-john- courses/statistics/index.html Concepts of population and sample, data collection, descriptive statistics and exploratory data analysis, frequency distributions, basic probability concepts, random variables, discrete and continuous probability models and their applications, central limit theorem and its applications and an introduction to statistical inference. NOTE: Credit can be obtained for only one of STAT 1793, STAT 2263, STAT 2593, BA 1605, PSYC 2901. Prerequisite: Grade 12 Mathematics. Classes are held in Hazen Hall Room 239 on Mondays, Wednesdays and Fridays 10:30- 11:20 am Topics and schedule: Tentative list of course topics: Probability § General Definitions § Discrete random variables § Continuous random variables and probability distribution functions § Marginal, Joint and Conditional Probabilities § Central Limit Theorem Statistics § General Definitions § Sampling § The normal distribution and sample statistics § Statistical Inference See the separate document ”STAT1793 Schedule Fall 2024” on the course D2L page, for more information about course topics and schedule (including assignment deadlines and midterm dates). For other information about the assignments, midterm quizzes and final exam, see the “Evaluation” section in this document. Textbook: A university level introductory textbook on probability and statistics that covers the topics listed in the course schedule is important to provide you with background readings, additional examples and additional practice problems. Examples of such textbooks are: Introductory Statistics Authors B. Illowsky and S. Dean https://openstax.org/details/books/introductory-statistics-2eIntroductory Statistics (If downloading the free pdf from the publisher’s website, you may be asked to make a donation to support the publisher’s work; however, such a donation is optional) Introductory Statistics Author N. A. Weiss Available at the campus bookstore. STAT1793: Introduction to Probability and Statistics I Fall 2024 : Course Syllabus About the Course (Continued) Course Objectives Students will develop an understanding of concepts applied to random variables in probability theory and statistics Students will understand the rules of probability theory and be able to calculate probabilities, for discrete random variables and continuous random variables, using these rules. Students will understand the concept of a probability distribution function and the relation of areas under the curve to probabilities of continuous random variables. Students will be able to state the Central Limit Theorem and describe its consequences Students will be able to understand the concept of sampling a population and factors that may affect the results Students will be able to perform statistical inference calculations based on a sample mean. Class Time and Other Notes Attendance in class is expected. See the Academic Calendar: University Wide Academic Regulations: I. General Course Regulations: A. Class Attendance. Be respectful to others in the class. Do not engage in private conversations or other distracting behaviour while in class. If you have a question while in class, raise your hand; I will call on you once I reach an appropriate point to pause. Cultivate active learning by thinking about the reasons why the materials are constructed in the way they are. Prepare for the next class by going back over your notes, checking you have understood the concepts and examples, and reading ahead a little. If you have questions about the course do not delay contacting the instructor. Always review the weekly assignment as soon as it is posted so you can get help via email or in office hours, if needed. Additional Math Help Free tutoring is available at the Math and Science Help Centre located in the Hans W. Klohn Commons Building, room 134. For more information, please visit https://www.unb.ca/saintjohn/sase/advising/resources/mathhelp.html STAT1793: Introduction to Probability and Statistics I Fall 2024 : Course Syllabus About the Instructor Instructor: Keith De’Bell Email:[email protected] Office: GH214 (Inside GH216) When addressing me in person or in written form (including email) you may use my given name, Keith. However, if you wish to use a more formal mode of address, either Professor De’Bell or Dr. De’Bell is appropriate. (Pronouns: he, him). Office Hours: Monday, Wednesday 9:30 to 10:20 am, & Tuesday 9:30 to 11:20 am Appointments are not needed (or used) for Office Hours. Students’ questions are dealt with on a first to arrive, first seen basis. Remember to maintain a respectful distance I am often in my office a little before the official start of office hours; you are welcome to come in and speak to me about the course during those times. However, my office hours end promptly at the stated end time to allow me to get to my following class. Therefore, you must arrive sufficiently early for your questions to be dealt with. Office hours are held only on those Mondays, Tuesdays and Wednesdays when there are classes. (E.g., not on University Holidays) Please remember that the office is shared with other instructors and may be visited by other students. Personal matters should not be discussed in the office. Email communication: You are welcome to contact me about the course by email. You will normally receive an email reply within two working days (Mondays to Fridays excepting University holidays). Aways check the D2L course page for the information you need before sending email. Do not send multiple emails on the same subject within the two working day period (unless you are correcting an earlier email). Doing so is unhelpful, will cause delays for you and, possibly, for other students. When sending email, identify the course in the subject line of the email. Failing to do so may cause further delays in getting a response. If you are asking questions about the course materials clearly define the section of materials you are referring to and state a specific question. Similarly, if you are asking a question about an assignment question, clearly state the assignment number, and question and part (if applicable) you are referring to, and state a specific question. When sending email, you must use your UNB email account. Emails from other sources will not be read or answered. Appointments: Student questions are normally dealt with by email or during office hours. If you need to arrange a meeting with me outside office hours, contact me by email explaining why you need an appointment. Keep in mind the possible time required for email responses (see above). Meetings outside office hours are on-line by Microsoft Teams. STAT1793: Introduction to Probability and Statistics I Fall 2024 : Course Syllabus Where to find announcements and course materials Announcements and course materials, including lecture summaries, are posted on the D2L (online system) course page. Course Grading Scheme Your final grade will be calculated as follows Assignments 20% Midterm 1 15% Midterm 2 15% Final Exam 50% Assignments: Assignments are posted on the D2L page one week in advance of the deadline. Assignments must be submitted by the stated deadline (see the course schedule) and must be submitted through the D2L system. Other forms of submission, including email, will not be accepted. There are no deadline extensions. Assignment answers are submitted through a D2L multiple-choice quiz. However, it is strongly recommended that you write out your answer in full before submitting the final answer. Keep your written answers to compare with the posted solutions and for later review. Assignment solutions are posted within one working day of the assignment deadline. Missed assignments will normally receive a mark of zero. Exceptions will be made only under exceptional circumstances beyond the control of the student, and at the discretion of the instructor. Midterm Quizzes: There are two midterm quizzes during the term (see the Course Schedule for dates). Midterm quizzes are in-person, individual, closed book quizzes held during the normal class time. Answers to midterm quiz questions must be full written answers leading from the information in the question to the final answer. (See the posted assignment solutions for examples of full solutions). You are not permitted to use a calculator or any other electronic device during the midterm quizzes. Further information about each midterm quiz will be posted on the D2L page approximately one week before the quiz. If you miss a midterm quiz for any reason, the available mark (i.e. 15% of the final grade) will be allocated to the final exam. STAT1793: Introduction to Probability and Statistics I Fall 2024 : Course Syllabus Course Grading Scheme (Continued) Final Exam: This course has a final exam which will be held during the December exam period. The Final Exam is an in-person, individual, closed book exam. Answers to final exam questions must be full written answers leading from the information in the question to the final answer. You are not permitted to use a calculator or any other electronic device during the final exam. Further information about the Final Exam will be posted on the D2L page approximately one week before the last class. The date/time of the final exam is set by the Registrar’s Office. Students are expected to make themselves available at the date/time set by that office. Final Grades After marking of the final exam, the weighted average, (20a + 15m1 + 15m2 + 50f)/100, where - is the average assignment mark expressed as a percentage, m1 and m2 are the grades out of 100 in Midterm 1 and 2, respectively, and f is the grade out of 100 in the final exam, is calculated. The resulting weighted average is converted to a letter grade using the table below. Weighted Average Grade 92-100 A+ 86-91 A 80-85 A- 75-79 B+ 70-74 B 65-69 B- 58-64 C+ 50-57 C 45-49 D 0-44 F Notwithstanding the above, in order to receive a grade of at least C in the course, you are required to achieve a weighted average of at least 45% on the midterm and final exam components of the course. This weighted average (as a percentage) will be computed as follows: (15m1 + 15m2 + 50f)/80, where m1 and m2 are the grades out of 100 in Midterm 1 and 2, respectively, and f is the grade out of 100 in the final exam. If this weighted average is less than 45% and the overall grade calculated as above is 50% or more, the final letter grade in the course will be a D. In addition, if you achieve a weighted average of at least 45% on the midterm and final exam component and your final exam mark is higher than the overall grade calculated as above, then the final exam may count for 100%. Note: The final grade calculation is based solely on the Grading Scheme outlined above. There are no make-up assignments, tests or other forms of additional work. STAT1793: Introduction to Probability and Statistics I Fall 2024 : Course Syllabus Academic Accommodations Academic accommodations for students with disabilities are provided by the Student Ac- cessibility Centre. If you are a student with a disability and would like to discuss potential accommodations, you are encouraged to contact Ken Craft, Student Accessibility Coordina- tor. Ken can be reached at [email protected] or 1-506-648-5690. Equity, Diversity and Inclusion UNB embraces the idea of an intellectual community enriched by diversity along a number of dimensions, including gender, gender identity, sexual orientation, age, culture, ability, race, ethnicity, language, religion, and nationality. If you prefer a name or pronoun other than those implied by your registration information, please inform me. For information on UNB’s Chosen Name and Gender Identity Policy, see https://www.unb.ca//initiatives/equity-diversity-inclusion/index.html. Territorial Acknowledgement We recognize and respectfully acknowledge that all UNB course interactions take place on unsurrendered and unceded traditional lands of the Wolastoqiyik. Sexual Assault Policy and Procedures All members of the University of New Brunswick community have the right to study, work, and live in a campus environment that is supportive and safe. The University of New Brunswick’s Sexual Violence Policy & Guidelines are intended to raise awareness, provide education, and prevent sexual violence incidents; we also seek to promote a consent culture and personal empowerment. We provide friendly and affirming counsellors and Campus Sexual Assault Support Advocates (CSASA’s) on our campuses who are specially trained to support students who have experienced, or suspect they have experienced, sexual violence. They can offer support, counselling, options for potential further action, arrange accommodations, seek medical help, and much more. All this is provided in a private, supportive, and confidential manner during regular office hours. Fredericton Campus: CSASA office, C.C. Jones Student Services Centre, 453-4530 or [email protected] Saint John Campus: CSASA office, Philip W. Oland Hall, 648-2309 or [email protected] As always for emergency safety services, please call 911, or campus security at: Fredericton Campus: 767 Kings College Road, 453-4830 Saint John Campus: G. Forbes Elliott Athletics Centre, 648-5675 STAT1793: Introduction to Probability and Statistics I Fall 2024 : Course Syllabus Academic Integrity Part of the Academic Integrity Project 2021. Written by students at UNB: TP, HT, EM (modi- fied slightly). Academic Integrity means acting honestly, with a sense of “trust, fairness, respect, and re- sponsibility” in all instances, even in challenging circumstances (International Center for Academic Integrity, 2018, 4). Your choices at university, both large and small, will reveal and shape who you are as person. Here at UNB, you are a person of integrity and honour. Your integrity will be visible in many ways, including the times when you express your original ideas and when you give credit where credit is due. In your university experience, from group work to the lab, it will always be important for you to complete your own assignments accurately and honestly. On midterms, assignments, and exams, showcase your own knowledge and abilities. Make sure your work is your own; don’t cheat, borrow, or buy. On your papers and presentations, signal your research by acknowl- edging your sources and documenting how you’ve learned from others. Good academic writing is part of a conversation involving multiple parties. Citing sources is an essential part of this continuing conversation. Check yourself! Acting with a sense of Academic Integrity ensures that you get the most out of your edu- cational experience here at UNB. Academic dishonesty cheats you of valuable learning experiences and could result in a failing grade or worse. Students might occasionally want to take shortcuts, but with support, preparation and understanding missteps can be avoided. For a complete overview of how UNB handles Academic Offences please consult: https://www.unb.ca/academics/calendar/undergraduate/current/regulations/universitywideaca demicregulations/viii- academicoffences/index.html The Path to Academic Integrity — 5 Ways to Keep on Track: 1. Don’t Leave Things Until the Last Minute: It’s understandable that university gets stressful and sometimes it’s hard to get all of our work done in a timely manner. That being said, it’s when we leave things to the last minute that we are tempted to take shortcuts in order to get things done. By giving ourselves enough time to complete an assignment, do proper research, take proper notes, and study for tests, we can both reduce our stress and ensure that we have enough time to act with integrity. 2. Ask for Help! Sometimes “cheating” occurs unintentionally. Sometimes students do not understand an assignment or material covered in class. Sometimes people cut cor- ners if they aren’t 100% clear that something is cheating. The easiest way to avoid unintentional cheating is to ask! When unsure, reach out to a Professor, Librarian, or someone at the Writing Centre or Math Help Centre. It’s better to be safe than sorry! 3. Be Careful When Working with Friends: It’s nice to work collaboratively; it’s important to ensure that we do so properly. Don’t be afraid to check with professors and their guidelines when considering working on assignments or projects with friends. 4. Take Careful Notes: One of the easiest ways to prevent committing an academic of- fence throughout an assignment is to take careful notes. While paraphrasing is okay, we need to be careful when doing so. If we take someone else’s idea and put it into our own words, we MUST still acknowledge the original source. While researching, we often come across many sources, and the ideas presented in these works can easily get jumbled in our heads. By taking careful and detailed notes, we can decrease the risk of accidentally taking credit for an idea that isn’t ours. Keep track of ideas or quotes. If unsure what or how to cite, ask a professor, Librarian, or Writing Centre consultant. 5. “Let your Conscience be your guide” (Jiminy Cricket, Pinocchio) STAT1793: Introduction to Probability and Statistics I Fall 2024 : Course Syllabus Plagarism and Academic Misconduct The purpose of education is to acquire knowledge, develop skills, and to grow as an individ- ual. In order to achieve these goals one needs to approach ones courses in an honest manner. This requires individuals to submit work that is their own creation. Students often wonder why documenting their sources and maintaining a high level of academic integrity is so im- portant, and why failure to do so is taken so seriously. Work undertaken at university is part of a centuries-long conversation. All work builds on that of your predecessors. Documenting your sources recognizes the efforts of others and places your contribution within the conver- sation. Therefore, your documentation/integrity shows courtesy for your sources and for your reader. The University of New Brunswick places a high value on academic integrity and has a policy on plagiarism, cheating and other academic offences. Plagiarism includes: 1. quoting verbatim or almost verbatim from any source, including all electronic sources, without acknowledgement; 2. adopting someone else’s line of thought, argument, arrangement, or supporting evidence without acknowledgement; 3. submitting someone else’s work, in whatever form without acknowledgement; 4. knowingly representing as one’s own work any idea of another. Examples of other academic offences include: cheating on exams, tests, assignments or reports; impersonating somebody at a test or exam; obtaining an exam, test or other course materials through theft, bribery, collusion, purchase or other improper manner; submitting course work that is identical or substantially similar to work that has been submitted for an- other course; and more as set out in the Academic Regulations of the Undergraduate Calen- dar. Penalties for plagiarism and other academic offences range from a minimum of F (zero) in the assignment, exam or test to a maximum of suspension or expulsion from the University, plus a notation of the academic offence on the student’s transcript. For more information, please visit Undergraduate Calendar, Section B, Regulation VIII.Academic Offences. It is the student’s responsibility to know the regulations. Photography, and Audio and Video Recording: Photography, and audio and video photography during classes and/or meetings with the instructor are not permitted. Copyright: In general. copyright of materials on the D2L site belongs to the author. You may make one copy of class materials supplied by the instructor (i.e. the course, syllabus, lecture notes, and similar materials) for your personal use. Reposting of materials is strictly prohibited.