AMS 110 Syllabus Fall PDF

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Download AMS 110 Syllabus Fall PDF

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AMS 110: Probability and Statistics for Life Sciences Section 3 Fall 2019 Instructor: Emma Talis Email: [email protected] Office Hours: M 10:30 am-12 pm, Th 3:30-5 pm, Office Hour Location: Math Tower 2-103 or by appointment Class Hours: M/W 2:30-3:50 pm Classroom: Earth & Space Sciences 131 TA: Wenhui Kuang (Grades A-K) Email: [email protected] Office Hours: Tu 10 am - 12 pm TA: Nathaniel Tchangou (L-Z) Email: [email protected] Office Hours: M 1 - 2pm, W 12 - 1 pm TA Office Hour Location: AMS Help Room, Harriman 132

Course Description A survey of probability theory and statistical techniques with applications to biological and biomedical situations. Topics covered include Markov chain models; binomial, Poisson normal, exponential and chi-square random variables; tests of hypotheses; confidence intervals; t-tests; analysis of variance, regression and contingency tables. (May not be taken for credit in addition to AMS 310.)

Required Materials Textbook: We will be using MyLab Statistics with eText for Biostatistics for Biological and Health Sciences by Triola, Triola, & Roy. Textbook Instructions: 1. Enter the Blackboard course. 2. From the left navigation, click “MyLab Statistics". 3. Click any course link in the top area of the Pearson’s MyLab & Mastering Tools page. 4. First time students: sign in with your existing Pearson username and password or create a new Pearson account. 1

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Students who attend multiple institutions: If you have previously linked accounts for a Pearson course at another institution, make sure to create a separate new Pearson account for each institution. Otherwise, grades will not sync. 5. After signing in or registering, the student payment options appear. You can choose any available options to: • Purchase access with a credit card or PayPal. • Redeem a MyLab or Modified Mastering access code that they already purchased. • Get temporary access for 14 days and pay later. Note: you must pay to upgrade to full access by the end of the 14 days. 6. After this one-time process, launch the MyLab course materials by clicking the link in the Blackboard left navigation. After linking accounts, you should not need to sign in to MyLab & Mastering again from within Blackboard. 7. Note: Students must use Chrome, clear their cache and allow cookies. If you are prompted for a Course ID you should refresh the page and try again. Calculator: This class requires you to have a calculator that, at the minimum, takes square roots and raises numbers to powers. The TI 83+/TI 84+ will be most helpful, since we will discuss the TI calculator commands needed to complete/check certain problems. You will be able to use your calculator on exams. Although you could manage without a fancy calculator, a TI calculator will allow you to quickly verify your answers on homework assignments and exams. If you have questions about whether your calculator will work in this class, just ask me. If you choose to use a different calculator, please look up the appropriate commands yourself in your user manual or online.

Course Objectives This course will provide students an introduction to the principles of statistical methods. We will cover the following topics: 1. Basic Probability: classical probability, frequency interpretation of probability, set theory 2. Conditional Probability: Bayes’ Theorem, tree diagrams, contingency tables 3. Sampling Methods: sampling techniques, observational studies vs. experiments, scales of measurements 4. Descriptive Statistics: data visualization, measures of central tendency, measures of spread, measures of relative standing, z-scores, Empirical rule & Chebyshev’s Theorem 5. Continuous Probability Distributions: Normal distribution, standard Normal curve, z-table 6. Inferential Statistics: sampling distribution of the mean, Student’s t-distribution, t-table, Central Limit Theorem, confidence intervals for population means, Chi-Square distribution, confidence intervals for population standard deviations and variances 2/5

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7. Hypothesis Tests: critical value method, confidence interval method, p-value method & levels of significance, interpretation 8. Inferences from Two Samples: differences in two proportions, differences in two means 9. Discrete Probability Distributions: discrete random variables, expected value, Bernoulli trials, Binomial distribution

Course Structure Class Protocol You are expected to print the guided notes for each lecture and bring them with you for every class. Please let me know on the first day of class if this will be an issue for you. You will also benefit from bringing your calculator to most classes.

Grading Policy The letter-grading scale will be used. The grade will count the assessments using the following proportions: • 15% of your grade will be determined by written homework (about 4 assignments). • 15% of your grade will be determined by online homework through MyStatLab (about 4 assignments). • 10% of your grade will be determined by 3 practice exams, 1 before each exam (3.33% each). • 40% of your grade will be determined by 2 in-class mid-semester exams (20% each). • 20% of your grade will be determined by 1 final exam, held during the final exam period.

Homework Homework will be due roughly weekly, alternating between online and written assignments. Online assignments will be completed through MyLab Statistics (access at www.mystatlab.com or through Blackboard). Online homework will be due at 2:29 pm (before class begins) on a date announced in advance in lecture, on Blackboard, and as indicated on MyLab Statistics. Written homework will be collected at the beginning of class, on a date announced in advance in lecture and on Blackboard. Written assignments will be posted on Blackboard. You are expected to print out each written assignment, complete it, and turn it in in class, stapled together with your name on the front page. Written homework will not be accepted through email. Homework assignments will be graded on a scale of 1-10. Help on homework is available over email and in office hours. Attending office hours (both mine and the TA’s) is highly encouraged for success on homework assignments and in the class generally. Collaboration with classmates on homework assignments is also permitted, provided that the final write-up is your own. Copying another student’s homework will not be tolerated. 3/5

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Practice Exams A practice exam will be due roughly two classes before each exam. Practice exams will be graded like an exam, out of 100, and are meant to prepare you for the structure and content of an exam. Think of practice exams as written homework assignments aimed at assessing your preparedness for each exam (you may use your notes and get help in office hours as needed).

Exams There will be two mid-semester exams, held in class. The first exam will cover items 1-4 on the list of course objectives. Exam 1 is scheduled for Monday, October 7th . The second exam will be focused on items 5-8 on the list of course objectives. Exam 2 is not designed to be cumulative, but Exam 2 concepts build on those tested on Exam 1. Exam 2 is scheduled for Monday, November 25th . Note: the exact items covered on each exam are subject to change according to course progress. The final exam will be held on Wednesday, December 11th from 5:30-8:00 pm. The final exam will be cumulative, covering all 9 items on the list of course objectives. A 3” x 5” index card (both sides) with formulas may be allowed for Exam 2 and the final exam. Missed exams may not be made up without advance notice and good reason (for example: if you are sick for an exam, you must tell me ahead of time and provide a doctor’s note). With advance notice and/or careful documentation of extenuating circumstances, accommodations may be made.

Course Policies Policies on Late Assignments Written homework may be handed in one class period late for 2 points off (out of 10). Written homework will not be accepted later than one class period after the due date. Online homework will not be accepted late. Practice exams will not be accepted late, as solutions will be posted immediately after they are due in order to help you prepare for the exam.

Class Cancellation Should a class be canceled, assume that: • any written homework assignment or practice exam due on that day will be collected at the beginning of our next class; • any online homework assignment due on that day will still be due; and • any exam scheduled for that day will be held during our next class. These changes will be made clear on Blackboard. 4/5

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Student Accessibility Support Center (SASC) Statement If you have a physical, psychological, medical or learning disability that may impact your course work, please contact the Student Accessibility Support Center (SASC), ECC (Educational Communications Center) Building, Room 128, (631) 632-6748. They will determine with you what accommodations, if any, are necessary and appropriate. All information and documentation is confidential.

Academic Integrity Statement Each student must pursue his or her academic goals honestly and be personally accountable for all submitted work. Representing another person’s work as your own is always wrong. Faculty is required to report any suspected instances of academic dishonesty to the Academic Judiciary. Faculty in the Health Sciences Center (School of Health Technology & Management, Nursing, Social Welfare, Dental Medicine) and School of Medicine are required to follow their school-specific procedures. For more comprehensive information on academic integrity, including categories of academic dishonesty please refer to the academic judiciary website at http://www.stonybrook.edu/commcms/ceas-undergrad/academic_integrity/ reporting_academic_dishonesty.

Critical Incident Management Stony Brook University expects students to respect the rights, privileges, and property of other people. Faculty are required to report to the Office of Judicial Affairs any disruptive behavior that interrupts their ability to teach, compromises the safety of the learning environment, or inhibits students’ ability to learn. Faculty in the HSC Schools and the School of Medicine are required to follow their school-specific procedures.

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