Syllabus: STAT Section 501

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1 Syllabus: STAT Section 501 Spring 2017 TR 8:00-9:15 am, Blocker 150 Instructor: Soutrik Mandal Office: Blocker 415-A Office Hours: (Blocker 405-A) TR 9:30-11:00 am or by appointment smandal@stat.tamu.edu Teaching Assistant: Se Yoon Lee Office: BLOC 422 Office Hours: Monday 8:00-9:55 am seyoonlee@stat.tamu.edu Help sessions are held in Blocker 162 on Monday and Wednesday 10:15am-12:15 pm, 1:45-3:45 pm, 5:00-7:00 pm and also Tuesday and Thursday 10:15am-12:15 pm, 2:00-4:00 pm, 5:00-7:00 pm. You are strongly encouraged to attend these sessions whenever needed. Course Material/Announcements/Scores The class materials will be posted on ecampus( All course related announcements will be made through ecampus. You may access your scores here as well. Learning Objectives Identify appropriate graphs, summary statistics, and inferential statistics for real-world contexts. Interpret graphs and statistics in real-world contexts. Calculate summary and inferential statistics. Infer appropriate conclusions about populations based on data. Explain and compare properties of summary and inferential statistics. Combine concepts in new ways to solve various problems. Prerequisites Math 141 (Business Mathematics I) or MATH 166 (Topics in Contemporary Mathematics II) or equivalent. Learning to use your calculator effectively can be very helpful in solving homework problems and during exams. Required A calculator. A TI-83 is somewhat more helpful than other types of calculators. But you just need a $15 calculator that can take square roots. Textbook: The ebook version of Statistics: The Art and Science of Learning from Data, 3rd ed, by Agresti & Franklin. You will purchase it through ecampus, so you will be linked to my section. Check for the link START HERE on ecampus for instructions. Operating System: Windows XP, Vista, 7 or 8; Mac OS 10.5 x or higher; ubuntu; or Fedora. Internet Browser: With the latest Windows and Mac operating systems, the latest Firefox, Chrome, IE, and Safari browsers are compatible. With ubuntu and Fedora, use Firefox. Other Software: run the Browser Check in the ebook to make sure you have all the programs and updates needed. 1

2 Topics We will be covering the following sections in this course (subject to change): 1. What is Statistics 2. Exploring Data with Graphs and Numerical Summaries 3. Association: Contingency, Correlation, and Regression 4. Gathering Data 5. Probability in Our Daily Lives 6. Probability Distributions 7. Sampling Distributions 8. Statistical Inference: Confidence Intervals 9. Statistical Inference: Significance Tests About Hypotheses 10. Comparing Two Groups 11. Analyzing the Association Between Categorical Variables 12. Analyzing the Association Between Quantitative Variables: Regression Analysis 13. Comparing Groups: Analysis of Variance Methods Grading 90% A 80% P P < 90% B 70% P P < 80% C 60% P P < 70% D < 60% F Your grades will be computed based on the following criteria: 1. In-Class Participation: (10%) There will be random quizzes conducted during the semester and you will be awarded points based on them. You WILL need to obtain an I-Clicker and REGISTER your device ( 2. Homework: (10%) We will have weekly homeworks that will cover the corresponding week s lecture. 3. Midterms: (60%) We will have three exams during the semester, each carrying 20% weightage. 4. Final Exam: (20%) The final will be based on the entire material. Homework There will be homeworks assigned every week that can be accessed from the Pearson website. Although discussion among fellow classmates is allowed, the homeworks you submit must be your own work. The due date for each homework may vary and will be announced at least a week before the deadline. Late submissions will not be entertained. You are strongly encouraged to utilize the Help sessions in Blocker 162 if you need help with the questions. 2

3 Exams For each exam you will need to bring a GRAY Scantron. You can bring a calculator for numerical calculations. You may carry one-sided formula sheets for each of the exams. You will NOT BE ALLOWED extra credit projects, additional exams etc. to compensate for a poor average. Each of your THREE midterms will be 1 hr 10 mins long. These will be multiple choice exams and the dates are Thursday, February 16, Thursday, March 23 and Thursday, April 13. Midterms will be given during regular class hours (8:00 am - 9:15 am). The final (multiple choice exam) is on Friday, May 5 from 1:00pm to 3:00pm. You will need an GRAY scantron for EACH exam. Coffee stained, torn and wrinkled sheet do not scan so they re NOT GRADED!!! Incompletes A temporary grade of I (Incomplete) at the end of a semester indicates that the student has completed the course with the exception of a major quiz, final exam, or other work. I shall give this grade only when the deficiency is due to an authorized absence or other cause beyond the control of the student. Copyright Notice The handouts used in this course are copyrighted. By handouts, I mean all materials generated for this class, which include but are not limited to syllabi, quizzes, exams, lab problems, in-class materials, review sheets and additional problem sets. Because these materials are copyrighted, you do not have the right to copy the handouts, unless I expressly grant permission. University Policies Academic regulations and procedures are governed by University policy. Academic dishonesty cases will be handled in accordance the University s policies. Aggie Honor System: An Aggie does not lie, cheat, steal, or tolerate those who do. Academic dishonesty includes the commission of any of the following acts: cheating, fabrication, falsfication, multiple submissions, plagiarism, complicity, and other types of misconduct. Upon accepting admission to Texas A&M University, a student immediately assumes a commitment to uphold the Honor Code, to accept responsibility for learning, and to follow the philosophy and rules of the Honor System. Students may be required to state their commitment on examinations, research papers, and other academic work. Ignorance of the rules does not exclude any member of the TAMU community from the requirements or the processes of the Honor System. Please see for the complete Honor Council Rules and Procedures. Cheating is intentionally using or attempting to use unauthorized materials, information, notes, study aids or other devices or materials in any academic exercise. Unauthorized materials may include anything or anyone that gives a student assistance and has not been specifically approved in advance by the instructor. During an examination, for example, looking at another students examination or having a conversation with others is cheating unless specifically allowed in advance by the instructor. Fabrication is making up data or results, and recording or reporting them; or submitting fabricated documents. Falsification is manipulating research materials, equipment, or processes, or changing or omitting data or results such that the research is not accurately represented in the research record. The intentional invention and unauthorized alteration of any information or citation in any academic exercise; failing to acknowledge the actual source from which cited information was obtained; changing information on tests, quizzes, examinations, reports, or any other material that has been graded and resubmitting it as original for the purpose of improving the grade on that material are examples of fabrication and falsification. Plagiarism consists of passing off as ones own ideas, words, writing, etc., which belong to another. In accordance with this definition, you are committing plagiarism if you copy the work of another person and turn it in as your own, even if you should have the permission of that person. Plagiarism is 3

4 one of the worst academic sins, for the plagiarist destroys the trust among colleagues without which research cannot be safely communicated. If you have any questions regarding plagiarism, please consult the latest issue of the Texas A&M University Student Rules, under the section Scholastic Dishonesty. Complicity is intentionally or knowingly helping, or attempting to help, another to commit an act of academic dishonesty. Examples include knowingly allowing another to copy from ones paper during an examination or test; distributing test questions or substantive information about the test without the instructors permission; collaborating on academic work knowing that the collaboration will not be reported; taking an examination or test for another student; and conspiring or agreeing with one or more persons to commit, or attempt to commit, any act of scholastic dishonesty. For more information about University policies and regulations, please see the following: Academic Integrity and Student Rules: Aggie Code of Conduct: Aggie Core Values: Statement on Disabilities The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides comprehensive civil rights protection for persons with disabilities. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation of their disabilities. If you believe you have a disability requiring an accommodation, please contact Disability Services, currently located in the Disability Services building at the Student Services at White Creek complex on west campus or call For additional information, visit 4

5 Week Start Date Topics 1 1/17 Schedule (subject to minor change) Exam days are fixed First Day Introduction, Sample vs. population, descriptive vs. inferential, graphs, mean, median, start spread Reading Ch 1, , /23 IQR, box plots, empirical rule, z scores,2 way tables, Ch 2.5, 3.1, 3.4 independence, Association and causation 3 1/30 Correlation, regression, Probability, Probability distributions Ch 3.5, 3.6,5, (normal) 4 2/06 Sampling, Experiments Ch 4 5 2/13 Finish up/review Exam 1 Feb /20 CLT, Sampling distributions: proportions, Confidence Intervals (CI): prop Ch 7.1, 8.1, 8.2, /27 CI: means, Hypothesis Tests (HT) Ch 8.3, 9.1, /06 9 3/20 HT: prop, HT: means, Power, beta Ch /13 Spring Break Finish up/review Exam 2 Mar /27 2 sample prop: CI, HT Ch /03 2 sample means: CI, HT, Chi square Ch 10.2, 11.1, /10 Finish up/review Exam 3 Apr /17 Last day to Q drop 4/18 Regression: Inference, residuals Ch /24 Reg: Anova table, One way ANOVA Ch 12.4, /01 Review 5/05 Friday 1:00 3:00 PM Final Exam BLOC 150

State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210

1 State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210 Dr. Michelle Benson mbenson2@buffalo.edu Office: 513 Park Hall Office Hours: Mon & Fri 10:30-12:30