Syllabus: STAT Section 501

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


Syllabus - ESET 369 Embedded Systems Software, Fall 2016

Office Hours: Mon & Fri 10:00-12:00. Course Description

STA2023 Introduction to Statistics (Hybrid) Spring 2013

Spring 2014 SYLLABUS Michigan State University STT 430: Probability and Statistics for Engineering

Sociology 521: Social Statistics and Quantitative Methods I Spring Wed. 2 5, Kap 305 Computer Lab. Course Website

Accounting 312: Fundamentals of Managerial Accounting Syllabus Spring Brown

Course Syllabus Advanced-Intermediate Grammar ESOL 0352

FINN FINANCIAL MANAGEMENT Spring 2014

ECON492 Senior Capstone Seminar: Cost-Benefit and Local Economic Policy Analysis Fall 2017 Instructor: Dr. Anita Alves Pena

EDCI 699 Statistics: Content, Process, Application COURSE SYLLABUS: SPRING 2016

Office Hours: Day Time Location TR 12:00pm - 2:00pm Main Campus Carl DeSantis Building 5136

MATH 1A: Calculus I Sec 01 Winter 2017 Room E31 MTWThF 8:30-9:20AM

Instructor: Matthew Wickes Kilgore Office: ES 310

Scottsdale Community College Spring 2016 CIS190 Intro to LANs CIS105 or permission of Instructor

Probability and Statistics Curriculum Pacing Guide

SYLLABUS: RURAL SOCIOLOGY 1500 INTRODUCTION TO RURAL SOCIOLOGY SPRING 2017

Foothill College Summer 2016

MANAGERIAL LEADERSHIP

PSYCHOLOGY 353: SOCIAL AND PERSONALITY DEVELOPMENT IN CHILDREN SPRING 2006

MAT 122 Intermediate Algebra Syllabus Summer 2016

FIN 571 International Business Finance

Required Texts: Intermediate Accounting by Spiceland, Sepe and Nelson, 8E Course notes are available on UNM Learn.

Sociology 521: Social Statistics and Quantitative Methods I Spring 2013 Mondays 2 5pm Kap 305 Computer Lab. Course Website

The University of Texas at Tyler College of Business and Technology Department of Management and Marketing SPRING 2015

AGN 331 Soil Science Lecture & Laboratory Face to Face Version, Spring, 2012 Syllabus

Medical Terminology - Mdca 1313 Course Syllabus: Summer 2017

CRITICAL THINKING AND WRITING: ENG 200H-D01 - Spring 2017 TR 10:45-12:15 p.m., HH 205

Ryerson University Sociology SOC 483: Advanced Research and Statistics

CHEM 1105: SURVEY OF GENERAL CHEMISTRY LABORATORY COURSE INFORMATION

San José State University Department of Marketing and Decision Sciences BUS 90-06/ Business Statistics Spring 2017 January 26 to May 16, 2017

Class Meeting Time and Place: Section 3: MTWF10:00-10:50 TILT 221

STA 225: Introductory Statistics (CT)

SYLLABUS. EC 322 Intermediate Macroeconomics Fall 2012

SOUTHERN MAINE COMMUNITY COLLEGE South Portland, Maine 04106

Business Computer Applications CGS 1100 Course Syllabus. Course Title: Course / Prefix Number CGS Business Computer Applications

Math 181, Calculus I

ACADEMIC POLICIES AND PROCEDURES

GEOG 473/573: Intermediate Geographic Information Systems Department of Geography Minnesota State University, Mankato

MURRAY STATE UNIVERSITY DEPARTMENT: NUTRITION, DIETETICS, AND FOOD MANAGEMENT COURSE PREFIX: NTN COURSE NUMBER: 230 CREDIT HOURS: 3

Adler Graduate School

I275 Introduction to Human-Computer Interaction Theory

University of Pittsburgh Department of Slavic Languages and Literatures. Russian 0015: Russian for Heritage Learners 2 MoWe 3:00PM - 4:15PM G13 CL

SOUTHWEST COLLEGE Department of Mathematics

HCI 440: Introduction to User-Centered Design Winter Instructor Ugochi Acholonu, Ph.D. College of Computing & Digital Media, DePaul University

Class Mondays & Wednesdays 11:00 am - 12:15 pm Rowe 161. Office Mondays 9:30 am - 10:30 am, Friday 352-B (3 rd floor) or by appointment

AGN 331 Soil Science. Lecture & Laboratory. Face to Face Version, Spring, Syllabus

Texas A&M University-Central Texas CISK Comprehensive Networking C_SK Computer Networks Monday/Wednesday 5.

Texas A&M University - Central Texas PSYK PRINCIPLES OF RESEARCH FOR THE BEHAVIORAL SCIENCES. Professor: Elizabeth K.

San José State University Department of Psychology PSYC , Human Learning, Spring 2017

Penn State University - University Park MATH 140 Instructor Syllabus, Calculus with Analytic Geometry I Fall 2010

International Environmental Policy Spring :374:315:01 Tuesdays, 10:55 am to 1:55 pm, Blake 131

PSYC 2700H-B: INTRODUCTION TO SOCIAL PSYCHOLOGY

TCH_LRN 531 Frameworks for Research in Mathematics and Science Education (3 Credits)

General Chemistry II, CHEM Blinn College Bryan Campus Course Syllabus Fall 2011

Course Content Concepts

MATH 205: Mathematics for K 8 Teachers: Number and Operations Western Kentucky University Spring 2017

Math 96: Intermediate Algebra in Context

Demography and Population Geography with GISc GEH 320/GEP 620 (H81) / PHE 718 / EES80500 Syllabus

Texas A&M University - Central Texas PSYK EDUCATIONAL PSYCHOLOGY INSTRUCTOR AND CONTACT INFORMATION

Physics XL 6B Reg# # Units: 5. Office Hour: Tuesday 5 pm to 7:30 pm; Wednesday 5 pm to 6:15 pm

Human Development: Life Span Spring 2017 Syllabus Psych 220 (Section 002) M/W 4:00-6:30PM, 120 MARB

BADM 641 (sec. 7D1) (on-line) Decision Analysis August 16 October 6, 2017 CRN: 83777

IPHY 3410 Section 1 - Introduction to Human Anatomy Lecture Syllabus (Spring, 2017)

Class meetings: Time: Monday & Wednesday 7:00 PM to 8:20 PM Place: TCC NTAB 2222

HIST 3300 HISTORIOGRAPHY & METHODS Kristine Wirts

Instructor Experience and Qualifications Professor of Business at NDNU; Over twenty-five years of experience in teaching undergraduate students.

COURSE WEBSITE:

Journalism 336/Media Law Texas A&M University-Commerce Spring, 2015/9:30-10:45 a.m., TR Journalism Building, Room 104

Introduction to Sociology SOCI 1101 (CRN 30025) Spring 2015

Photography: Photojournalism and Digital Media Jim Lang/B , extension 3069 Course Descriptions

General Physics I Class Syllabus

Military Science 101, Sections 001, 002, 003, 004 Fall 2014

CS/SE 3341 Spring 2012

Corporate Communication

RL17501 Inventing Modern Literature: Dante, Petrarch, Boccaccio and XIV Century Florence 3 credits Spring 2014

BIODIVERSITY: CAUSES, CONSEQUENCES, AND CONSERVATION

Fullerton College Business/CIS Division CRN CIS 111 Introduction to Information Systems 4 Units Course Syllabus Spring 2016

IDS 240 Interdisciplinary Research Methods

Course Goal This is the final course in the developmental mathematics sequence and its purpose is to prepare students for College Algebra.

Course Syllabus for Math

INTERMEDIATE ALGEBRA Course Syllabus

COURSE DESCRIPTION PREREQUISITE COURSE PURPOSE

Northeastern University Online Course Syllabus

Spring 2015 Natural Science I: Quarks to Cosmos CORE-UA 209. SYLLABUS and COURSE INFORMATION.

CHEMISTRY 104 FALL Lecture 1: TR 9:30-10:45 a.m. in Chem 1351 Lecture 2: TR 1:00-2:15 p.m. in Chem 1361

EECS 700: Computer Modeling, Simulation, and Visualization Fall 2014

PHO 1110 Basic Photography for Photographers. Instructor Information: Materials:

Instructor Dr. Kimberly D. Schurmeier

Computer Architecture CSC

Social Media Journalism J336F Unique ID CMA Fall 2012

Class Numbers: & Personal Financial Management. Sections: RVCC & RVDC. Summer 2008 FIN Fully Online

Office Location: LOCATION: BS 217 COURSE REFERENCE NUMBER: 93000

CIS 2 Computers and the Internet in Society -

TRINITY VALLEY COMMUNITY COLLEGE COURSE SYLLABUS

Course Policies and Syllabus BUL3130 The Legal, Ethical, and Social Aspects of Business Syllabus Spring A 2017 ONLINE

INFO I303 Organizational Informatics

Accounting 543 Taxation of Corporations Fall 2014

Required Materials: The Elements of Design, Third Edition; Poppy Evans & Mark A. Thomas; ISBN GB+ flash/jump drive

Transcription:

Syllabus: STAT 303 - 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 Email: smandal@stat.tamu.edu Teaching Assistant: Se Yoon Lee Office: BLOC 422 Office Hours: Monday 8:00-9:55 am Email: 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(https://www.ecampus.tamu.edu). 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

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 (https://www1.iclicker.com/register-clicker/). 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

Exams For each exam you will need to bring a 8.5 11 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 8.5 11 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 http://aggiehonor.tamu.edu 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

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: http://student-rules.tamu.edu Aggie Code of Conduct: http://compliance.tamu.edu/codeconduct.aspx Aggie Core Values: http://www.tamu.edu/about/corevalues.html 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 979-845-1637. For additional information, visit http://disability.tamu.edu. 4

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, 2.1 2.4, 2.6 2 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, 6.1 6.2 (normal) 4 2/06 Sampling, Experiments Ch 4 5 2/13 Finish up/review Exam 1 Feb 16 6 2/20 CLT, Sampling distributions: proportions, Confidence Intervals (CI): prop Ch 7.1, 8.1, 8.2, 8.4 7 2/27 CI: means, Hypothesis Tests (HT) Ch 8.3, 9.1, 9.2 8 3/06 9 3/20 HT: prop, HT: means, Power, beta Ch 9.1 9.6 3/13 Spring Break Finish up/review Exam 2 Mar 23 10 3/27 2 sample prop: CI, HT Ch 10.1 11 4/03 2 sample means: CI, HT, Chi square Ch 10.2, 11.1, 11.2 12 4/10 Finish up/review Exam 3 Apr 13 13 4/17 Last day to Q drop 4/18 Regression: Inference, residuals Ch 12.1 12.3 14 4/24 Reg: Anova table, One way ANOVA Ch 12.4, 14.1 15 5/01 Review 5/05 Friday 1:00 3:00 PM Final Exam BLOC 150