AMS 110 Syllabus Fall, Tuesdays and Thursdays, in Light Eng. 102, or Mondays and Wednesdays in Light Eng. 102

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1 AMS 110 Syllabus Fall, 2017 TIME and PLACE: Tuesdays and Thursdays, in Light Eng. 102, or Mondays and Wednesdays in Light Eng :30 AM- 9:50 AM TEXT: INSTRUCTOR: OFFICE HOURS and Statistics for the Life Sciences, 4 th Edition Samuels, Witmer, Schaffner Prentice Hall ISBN-13: Bakoo Hagedorn Please see Staff Information on blackboard for all TA and instructor office hours and addresses Instructor s bakhtavar.hagedorn@stonybrook.edu TEACHING ASSISTANTS will be holding 3 office hours per week in Harriman 132. Their office hours will be updated under Staff Information as well as on Announcements on Blackboard. You are encouraged to attend the office hours as soon as you need help. Your TAs can help you to understand the notes taken in class and provide guidance with homework assignments. If you miss class, you are expected to watch the video (under Lectures on blackboard), read the class notes (also under Lectures), and visit a TA in Harriman 132 should you have questions. EXAMINATIONS: There will be 2 in-class examinations and a final exam during final s week. Make-up examinations will not be given unless there is a doctor's note. You must have a calculator, identification, and pencil. A 3 x 5 index card (both sides) with formulas may be allowed for exam II and the final exam. You will NOT be permitted use of your cell phone as a calculator during examinations. In fact, all watches and cell phones must be packed away before you enter the examination room. You will not be able to share a calculator or share tables with a fellow student during the examinations. You will need to bring your own. Violation of these rules will result in the grade of F. 1

2 Tentative dates for the exams are as follows: Exam I (25%) October 9 or 10 depending on your section The exam will be held from 7:50 AM 9:50 AM in the regular classroom. Please arrive by 7:40 AM and place all your belongings (including cell phones, watches, jackets, books) in the front of the room. Keep the following with you: calculator, pencil, ID. NO index card is allowed for exam I. Exam II (25%) November 20 or 21 depending on your section The exam will be held from 7:50 AM 9:50 AM in the regular classroom. Please arrive by 7:40 AM and place all your belongings (including cell phones, watches, jackets, books) in the front of the room. Keep the following with you: #2 pencil, calculator, z and t tables, ID and 3 x 5 index card. Exam II will NOT include the probability and Bayes Thm. material tested on exam I. The only material repeated on Exam II will be Chebyshev s Thm and the Empirical Rule. Final Examination (35%) This exam will NOT be cumulative. Tuesday, Dec 12, 11:15 AM 1:15 PM if you are in the Tues/Thurs class (Sec1) Tuesday, Dec 19, 8:30 10:30 AM if you are in the Mon/Wed class. (Sec2) Please bring #2 pencil, z, t, F and chi-square tables, calculator, index card, ID. The emphasis will be on the new material, although exam II material (now mastered) can be included again on the final exam (i.e. you must know how to find p-values, test statistics, etc.) The dean s office does not support alternate final exam dates even when students have multiple exams on the day of their final. Please register for your classes accordingly. The location of your final exam is not available at the beginning of the semester. It will be posted under ANNOUNCEMENTS on Blackboard a week prior to the final. Please be prompt, there will be no extra time allowed if you are late. There will be no make up for the final. 2

3 HOMEWORK and Quiz POLICY: Homework assignments, (both written as well as online WEBWORKS, (which will become available by the second week of classes) and quizzes (which may not be announced ahead) combined will be worth 15% of your semester grade. You will have about a week to complete each homework assignment. Homework is due at the beginning of class and will be collected at the back of the classroom by the TA. Pre-tests are assigned before every exam, and may count for the first few points of your exam. Attendance is mandatory. Practice problems and practice exams with solutions can be found under ASSIGNMENTS under blackboard. These will NOT be collected. It is expected that you solve these problems at your convenience as the semester progresses. Please go to Blackboard before each class for lecture notes to be printed, homework assignments, and announcements pertaining to this class. In general, the typed notes and the class notes will be posted well in advance. If I need to cancel class, I will post that under ANNOUNCEMENTS and send out an as well. GRADING POLICY: A 90% semester average earns you the grade of A in this class. An 85% semester average will equate to an A-. A semester average of 65% is necessary for a C in this class. There could be quizzes, and there will be 2 exams and a final exam as stated previously. AMERICANS WITH DISABILITIES ACT: If you have a physical, psychological, medical or learning disability that may impact your course work, please contact Disability Support Services, 128 ECC Building (631) They will determine with you what accommodations are necessary and appropriate. All information and documentation is confidential. ACADEMIC INTEGRITY: 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. For more comprehensive information on academic integrity, including categories of academic dishonesty, please refer to the academic judiciary website at CHEATING POLICY: The grade of Q is assigned to a student found guilty of academic dishonesty. The Q remains on the transcript and is computed in your G.P.A. as a grade of F. Furthermore, a note describing the academic dishonesty is attached to your permanent records with the university. 3

4 Sharing of calculators on exams, using cell phones during exams will not be permitted. 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. CALCULATOR: You will need a calculator that takes square roots and raises numbers to powers (y^x). I have found the TI 83+/TI 84 to be most helpful in this class, and I shall post the Texas Instruments calculator commands necessary as we cover new formulas. You WILL be able to use it on exams. Although one can manage without a fancy calculator, the Texas Instruments calculator will enable you to swiftly verify your answers on homework assignments and exams. If you choose to use a different calculator, please look up the appropriate commands in your user manual or on the web. CLASS PROTOCOL: Cell phone usage is not permitted in class for any reason. You are expected to have printed lecture notes and your calculator with you for every class. Success on a pop quiz is unlikely without your calculator and notes in front of you. COURSE OBJECTIVES: This course will provide students an introduction to probability and the principles of statistical methods for Life Sciences. Since we will be covering the material in a different order than the text, we will reference the appropriate sections/chapters as we cover them. The following topics from Chapter1 Chapter 12 in your text will be covered: 1. Sampling methods Simple random sampling, cluster sampling, 1 in k systematic sampling Stratified random sampling 2. Descriptive Statistics Bar graphs, histograms, frequency polygons, stem and leaf displays, 3. Measures of Central Tendency Mean (including mean of grouped data), median, mode, percentiles, quartiles, box and whisker plots, symmetric vs. skewed distributions 4. Probability, Conditional Probability 5. Bayes Theorem including the use of tree diagrams, tables 6. Discrete and continuous probability distributions Binomial Distribution 4

5 Bernoulli trials, determining binomial probabilities, mean and standard deviation of a binomial distribution 7. Normal Distribution, Normal Approximation to the Binomial Distribution Standard normal curve, concept of z score 8. Inferential Statistics, Sampling distribution of the Mean, Central Limit Theorem, 9. Estimation of parameters Point estimates versus interval estimates and bounds of error Construct and interpret Confidence intervals, Sample size calculations 10. Conduct and interpret Hypothesis tests Tests involving the mean large samples, small samples t distributions P-Value Comparison of two population means: Paired Samples, independent samples, Independent Samples with equal variance, Pooled Variance t- test. Tests involving proportions 11. Chi-Square distribution and chi-square tests. 12. If time allows, Regression and correlation. LEARNING OUTCOMES for AMS 110, Probability and Statistics for the Life Sciences (Most of the material in AMS 110 is similar to AMS 102 but covered in greater depth.) Describe and apply the process of statistical investigations from conception through conclusion, with particular emphasis to life science applications. This process involves: * Formulating questions and collecting data * Analyzing data and drawing inferences * Interpreting results and communicating conclusions Demonstrate facility with, and a solid conceptual understanding of, the key tools of data analysis, including: * Histograms * Box plots, stem-and-leaf plots and other graphical displays 5

6 * Measures of central tendency * Measures of dispersion Demonstrate knowledge of elements of probability and key probability distributions, including: * Probability of an event, sample space, equi-probable outcomes * Conditional probability and Bayes theorem * Binomial distribution * Normal distribution * Chi squared distribution Demonstrate facility with, and a solid conceptual understanding of, the key tools of statistical inference, including: * z-scores * Estimation of intervals * Testing hypotheses, including Type 1 and Type 2 errors. Perform important statistical procedures, such as: * z-test * t-test * The chi square test * Linear regression Work with technology to: * Analyze data graphically * Analyze data numerically * Analyze data inferentially Decide which statistical methods to use in which situations: 6

7 * Recognizing which statistics tests apply in a situation * Checking the necessary conditions for those methods to be valid Use statistics to address the biomedical research question at hand. * Interpret the results of statistical analyses to answer the research question * Communicate conclusions that follow from the statistical analyses of the question Demonstrate an appreciation of the power and scope of statistical thinking for addressing research questions in a variety of scientific disciplines and in everyday life. 7

Probability and Statistics Curriculum Pacing Guide

Probability and Statistics Curriculum Pacing Guide Unit 1 Terms PS.SPMJ.3 PS.SPMJ.5 Plan and conduct a survey to answer a statistical question. Recognize how the plan addresses sampling technique, randomization, measurement of experimental error and methods