Florida Gulf Coast University CRN 10321, QMB 6305: Quantitative Methods in Business Spring 2013

Transcription

1 Florida Gulf Coast University CRN 10321, QMB 6305: Quantitative Methods in Business Spring Class Location: 402 Holmes Hall Class Hours: W 6:30 9:15 p.m. INSTRUCTOR: Dr. Hulya Julie Yazici OFFICE PHONE: FAX: hyazici@fgcu.edu, or huyazici@comcast.net URL: OFFICE LOCATION: 3317 Lutgert Hall OFFICE HOURS: T W R, 4 6 pm or by appointment; 7 days per week at hyazici@fgcu.edu, Instruction Web Site (ANGEL): ( REQUIRED TEXT w/ MyStatLab access: Business Statistics, 8 th edition, by Groebner, Shannon, Fry & Smith, Hardbound with Mystatlab access: Package ISBN-10: ISBN-13: MyStatlab standalone (with an option to buy the e-book): Go to under Register, select Student, follow the steps to purchase the access code. The course ID is Yazici You have an option to buy with or without e-book. e-book: Business Statistics, CourseSmart etextbook, 8/E ISBN-10: ISBN-13: immediate purchase access at or Student value edition (loose- leaf): buy MyStatlab separately ISBN-10: , ISBN-13: Hardbound textbook, buy MyStatlab separately Business Statistics, 8 th edition, by Groebner, Shannon, Fry & Smith, Pearson Education, ISBN-13: , ISBN-10: Textbook Companion web site for the 8 th edition (use this for Excel data files): SOFTWARE: Microsoft Excel CLASS REQUIREMENTS (Details follow): Business demeanors: Regular class attendance, Arriving on time to class, Meeting assignment deadlines, Class participation, Keeping up with your responsibilities (assignments, exams, quizzes, projects), RESTRICTED USE OF COMPUTERS AND PRINTER: Computers and the printer can only be used for class practices and in class computer assignments as specified by the Instructor.

2 RESTRICTED USE OF PERSONAL , OTHER NON-CLASS RELATED INTERNET SITES, AND THE PRINTER (these can only be used prior to beginning of the class) as these cause big disruption. CELL PHONES should be off or on vibrate mode. NO TEXTING. Proper time management, Regular communication: checking and using , use of web facilities such as ANGEL Academic integrity: Honesty!! Violation of this ethical concept will result in a grade of F whether this is an exam, project or simply an assignment. Teams are setup to share their knowledge, and each individual is expected to contribute. Each team member is assigned a responsibility. Failing to contribute, benefiting from the work of other students, assignment sharing between teams or between two sections, communication with another student during an examination, sharing of notes/resources during exams is unacceptable. As an individual you are expected to be honest, and sensible. Responsibility for your personal health: As we are faced with epidemics such as flu, it is everybody s responsibility to be cautious about your health by proper hygiene, vaccination, covering your nose and mouth when coughing and sneezing, and being absent when you are sick. Trustful and positive attitude towards your instructor: Express your concerns and questions with a positive attitude. Your instructor is open to constructive comments. 2 COURSE DESCRIPTION In today s fast evolving, global business world, decisions made using analytical tools will prevail while decisions made by intuition, feeling and little or no information will fail- Yazici, H. Statistics is the science of collecting, organizing, analyzing, and interpreting data to assist in making effective decisions. As described in AACSB standards, statistical data analysis and management science support decision-making processes throughout the organization. The purpose of this course is to learn how statistics can be implemented to business problems. Research methodology for collection and analysis of quantitative data is emphasized. Statistical concepts and techniques are learned and used to provide solutions to business problems. These will be used in other graduate quantitative courses such as QMB 6603, and several finance, accounting, marketing and IS courses. The course covers descriptive and inferential statistics. The latest application of these techniques to business will be discussed thru case studies, problems and articles. The course encourages analytical problem solving, idea generation, communication, teamwork and sharing, technological proficiency, and systems orientation as emphasized by the COB mission, vision and undergraduate program goals: At the end of this course, you should be able to apply the essential scientific methodologies to business problems, formulate and solve these problems with statistical techniques, make rational decisions and conduct business research. LEARNING OBJECTIVES based on LCGS (leader, critical thinker, global, strategic perspective): Develop a working knowledge of the statistical concepts and methods, C Understand the complexity of the business problems and how statistics can be used, S, C, G

3 3 Approach, formulate (frame) and solve real world business problems w/ analytical tools, C Synthesize and interpret the findings of the statistical analysis Make sense of the statistical findings with respect to the actual problem, how well the statistical analysis responds to the needs of the problem formulated, assess how the analysis and interpretation generated can lead to the solution of the problem (C, S) Gain an understanding and appreciation of statistics and research in business, S, G Formulate and solve real world business problems w/ statistical tools versus intuitive solutions and interpret these formulations, therefore enhance problem solving skills, C Enhance verbal and written communication and teamwork skills to apply and interpret statistical concepts, L Enhance technological skills by suing statistical software for data analysis LEARNING OUTCOMES based on LCGS: By the end of this course, students will: Understand and frame business problems, S, G Be able to collect data accurately for business problems, S Be able to conduct accurate and complete statistical analysis of the data collected, C, S Interpret the analysis results and use these results to support business decision making, S Be able to use Excel software for data representation and data analysis Communicate effectively operational issues and formulations by writing and participating to Live Classroom web platform, L Become an effective team leader, know how to manage and coordinate team tasks, L TEACHING PHILOSOPHY Constructivist teaching and Collaborative learning w/ structure: Learners construct knowledge. All learning is active. Under constructivist approach, students are assisted to structure and revise what they know. Students are engaged in sense-making knowledge activities. Quality of student understanding is valued versus quantity, such as not how much students remember but what and how students retain and use is criteria of understanding and learning. Instructional Strategies /Methods: Statistical analysis and interpretation of business data is germane to this course. Supported by cases, class practices and videos, the purpose is to enhance the understanding and provide a question/answer environment not only to discuss but also share how we reason about these issues. To fit students preferences for learning, various instructional / pedagogical methods are used. The instructional methods are: - Hands-on applications via class exercises and computer-based practices: teach the key points, doing by example, spreadsheet applications - Collaborative exercises allowing group work in class, and outside the classroom with guidance: group case presentations, term project, group assignments - Real life examples and practical applications via articles, your instructor s own work experience, speakers from the field, or videos as they apply

4 4 - Independent learning and skill development exercises such as term project to frame a business problem, collect data, analyze data, interpret the findings, and make recommendations or decisions. - Use of Humor as possible : humor is found to reduce stress in statistics classroom. COURSE REQUIREMENTS AND GRADING: 1-a READ Assigned portions of the Textbook, assigned articles, streamed videos. REVIEW slides and example problems in ANGEL. 1-b. CHECHING YOUR E- MAIL (reminders, warnings, questions/answers, announcements from me are sent to you by . Note that if an is sent by me from ANGEL, it will also directly go to your eagle FGCU . 2-a. USE of ANGEL is required for this course- You can click on Help if you need further information or contact Elspeth McCulloch or Chris Jordanek for your ANGEL questions. You use ANGEL for the following purposes: - take on-line quizzes - take on-line surveys- Take the Getting to know you survey - download / upload computer assignments - access course slides and handouts - read announcements - check your grade and see your progress - send to your peers and your Instructor while on the web 2-b. Use of MyStatLab: For each chapter, you will find data files, case video streams, tutorials, virtual office hours, pre and post-tests, PowerPoint and e-book contents, excel simulations and also online tutoring service. This is recommended aid for this class. 3. TEAMWORK EXPECTATIONS The homework and class assignments can be submitted as a group work. However, each group submission should clearly indicate the contribution of each team member. For term project, it is a requirement to complete the task table for each milestone showing the tasks assigned, and time spent by each team member. For class assignments, if a group member is absent, he/ she has to submit the class assignment individually for the next class period. Following is expected from teams: Genuine participation from everyone Mutual respect Consensus-based decisions Creation of agreed-upon individual and groups assignments and timelines Well-defined and rotating roles Making and meeting commitments Effective communication Avoiding unproductive or negative side conversations Note: In case of a team not fulfilling above requirements and having a student or a group of students not pulling their fair weight, Dr. Yazici reserves the right to assign to such students a grade different than the team grade. 4. ATTENDANCE and PARTICIPATION Each student is allowed to have 2 excused absences (2 class periods). Excused absences consist of illness, family emergencies and any uncontrollable work related instances. Excused absences need to be

5 documented and communicated to the Instructor. Every miss after two, or for any unexcused absence, 2 points / miss will be deducted from the final grade. Note: Leaving the class after the break or missing the first half of the class is considered missing half class period. Also, late arrivals and/or early departures are not allowed. Note that three late arrivals/early departures to/from class are equivalent to one unexcused absence. PARTICIPATION You will be asked to submit a selected number of in class Excel or problem work activities (class practices). These are individual submissions. You may earn participation points for these submissions. If you had an excused absence, you can earn partial/half credit if you submit the participation assignment for the next class time. Otherwise no participation point is assigned. Based on attendance and participation, points between 1-3 may be assigned for the final grade. These are extra credit points. Note: if you have unexcused absences or more than two excused absences, no extra credit point is assigned. 5. Homework Assignments (Case, Problem and Article Assignments)-(individual / group)- 140 points The homework assignments consist of textbook problems, textbook cases, and articles. These assignments are essential for your learning. You can work on these assignments individually or as a group. In case of group work, you need to indicate the contribution of each member (who worked on what question). Article write up assignments are usually individually submitted, however if class size is over 30, article assignments can be submitted as group with the condition that all team members read the article and indicate clearly who answered what question. THIS IS A REQUIREMENT. Grading: An outline in ANGEL is provided for all assignments. Please follow the outline for all assignments. Grading is based on the correctness and completeness of your submission. Most of these assignments are also reviewed in class, at their due date as time permits. You can take notes during the review. It is expected that you address your questions prior to the due date. However, if there are still unclear points, you may address these during the review. However, you are not allowed to work on the homework assignments during class time. You can resubmit your assigmets during the class review if you have already submitted your initial work prior to class time. Requirement for homework assignments: Deadlines are strictly followed. All assignments should be submitted at their due date and at the beginning of class. Any assignment submitted at the end of the class period will have one point deducted; one day late, two points; two days late, three points deduction, and if the assignment is submitted later than two days but within a week of its due date, half credit is assigned. Assignments submitted after one week, are not graded. Note: If you had an excused absence due to illness, you need to work on the assignment as soon as you feel better, and submit your late assignment prior to next class period, or by the next period. You need to communicate with your instructor about this. Assignments can be submitted early if a student cannot be present at the due date due to uncontrollable circumstances, such as a business trip or a required extra- curricular activity, i.e. an excused absence. DOCUMENTATION IS REQUIRED for all excused absences. 5.1 PROBLEM ASSIGNMENTS Textbook Exercises (Group or Individual)- 18 * 3= 54+1 bonus= 55 points These problems are essential for the learning of statistical concepts and methods. The assigned problems are shown on the course schedule page at the end of this document. You are required to submit your solutions for the problems assigned as indicated in the course schedule on the due date. 3 5

6 points are assigned for each problem. The Excel data files are available in MyStatLab and also provided in the student companion web site of your textbook see the link on the first page of this document ( Submit your solution w/ Excel formulations and your answers into a Drop box prepared for each problem assignment in Angel. Review the solved problems/examples in class before you submit. You can also ask feedback from your instructor prior to submission deadline. These assignments are briefly reviwed in class. You can make corrections to your submissions, but you need to submit prior to class time in order to receive full credit. Grading: Points are taken off for wrong, incomplete, illegible or very short solutions. Your solution should not only show the answer to the problem, but all the steps to solve it. When solved in Excel, cells should contain formulas. 5.2 CASE ASSIGNMENTS- 7 cases, 70 points All cases are assigned from the textbook. Several of these cases are based on the McDonalds video. An outline is provided for the cases if textbook case questions are modified or different questions are added. Case assignments are submitted as a group with individual contribution specified. These assignments are briefly reviwed in class. You can make corrections to your submissions, but you need to submit prior to class time in order to receive full credit. Grading: Grading is based on completeness and correctness of the solutions. When solved in Excel, cells should contain formulas. 5.3 Article Assignments (3) Individual/ Group (15 points) Purpose: Get familiar with the implementation of statistical methods in practice and summarize key points by writing. These also constitute examples for your term project or future projects. Follow the outline provided. Submit minimum 2-3 pages write-up summarizing key points and examples. Use Q/A format w/ expanded bullets (please do not list only, but explain each bullet). Note: if submitted as a group, indicate again who worked on what question. Grading: 5 points for each write-up. Four articles are assigned (3 article write up assignments). NOTE ABOUT FILE SUBMISSIONS: We use Microsoft Office (Excel) for class work. If you use Apple computer, you are responsible of converting your files or use campus computers. Please note that Safari browser does not work well with ANGEL. 6. WEB QUIZZES (Individual) - 60 points 2 web quizzes are administered. These tests consist of multiple choice or True/False concept/ definition, and small problems. 2 attempts are allowed, and an average of the two attempts is taken. In case of one attempt, the grade is based on a single attempt. 7. CLASS EXAMS (Individual) 200 points Problem Solving (statistical analysis) exams in class, 2 are administrated, 200 points. Exam re-do by the group or group discussion may be allowed. 8. TERM PROJECT (Group) 100 points Final Project consists of problem identification, data collection and statistical analysis of the data to improve an existing real business process, to make sales and financial predictions, or analyze an economical or public policy problem. Ground rules: 6

7 - The team can consist of two or three members. Team selects their leader. - Team leader informs Dr. Yazici about the names of the team members, so she can setup a Team folder - The team decides for their topic - The team collects data for the project: any business or government sector, profit or non-profit organization can be contacted. - The project must employ a statistical analysis. The team should follow the project guidelines provided by Dr. Yazici. - Project report, Excel files and a PowerPoint presentation file should be submitted by the final due date. - All teams follow the guidelines and deadlines: Term Project consists of four milestones: - Milestone 0- PROPOSAL: Describe the problem, issues involved, what critical issue will be tackled, importance of the problem, benefits to the business or community if solved. Describe the population and sampling, data collection procedure, roles and responsibilities of the team members. 02/13/13 - Milestone 1 Preliminary Data Collection. Research Hypotheses. Final Data Collection, Descriptive Analysis of Data. Hypothesis Testing, 03/20/13 - Milestone 2: More on statistical testing, Comparison of two means-anova or Regression Analysis, 04/17-04/24/13 - Milestone 3: Draft report and data analysis results. 04/24/13 - Final Milestone: Project report and all files, 04/29/13. Report consists of problem description, data collection, summary of results, interpretation of the findings, benefits, shortcomings. Project report consists of 5-10 pages text, embedded Excel tables for statistical analysis. A PowerPoint file and an Excel file are submitted to show data, formulations, solution tables. Note about teams: Team members are asked to evaluate the teamwork, i.e. contribution of their partner for the term project and case assignments by filling out Peer Evaluations. IMPORTANT: You need to complete your term project in order to pass the class. GRADING: 7 Individual WEB QUIZZES (2) CLASS EXAMS (2) Individual or Group ARTICLE WRITE-UPS (3) PROBLEM ASSIGNMENTS (18) CASES (7) Group FINAL PROJECT TOTAL: 60 points 200 points 15 points 55 points 70 points 100 points 500 points A: Outstanding: %, points A-: Very Good: %, points B+: Good: %, points B: Moderately good: % points

8 B- Fair: % points C+: Somewhat Fair: % points C: Unsatisfactory: %, points F: Unacceptable < 70.5 less than points (Note: C- and D grades cannot be assigned to graduate students) To gain an A grade, in addition to the above distribution, students should submit all assignments, and pass their exams with at least 93%. ADDITIONAL POINTS 8 Optional case submissions: Participation to Research Day: Class Attendance/Participation: 5 points/ case 3 points Max 3 points Note: Total of Additional points cannot go over 10 points. These points are used at instructor s discretion when a final score is very close to a cutoff or to recover a missed assignment. They are not automatically added. IMPORTANT: Academic Behavior Standards and Academic Dishonesty All students are expected to demonstrate honesty in their academic pursuits. The university policies regarding issues of honesty can be found in the FGCU Student Guidebook under the Student Code of Conduct and Policies and Procedures sections. All students are expected to study this document which outlines their responsibilities and consequences for violations of the policy. The FGCU Student Guidebook is available online at Disability Accommodations Services Florida Gulf Coast University, in accordance with the Americans with Disabilities Act and the university s guiding principles, will provide classroom and academic accommodations to students with documented disabilities. If you need to request an accommodation in this class due to a disability, or you suspect that your academic performance is affected by a disability, please contact the Office of Adaptive Services. The Office of Adaptive Services is located in Howard Hall 137. The phone number is or TTY Student Observance of Religious Holidays All students at Florida Gulf Coast University have a right to expect that the University will reasonably accommodate their religious observances, practices, and beliefs. Students, upon prior notification to their instructors, shall be excused from class or other scheduled academic activity to observe a religious holy day of their faith. Students shall be permitted a reasonable amount of time to make up the material or activities covered in their absence. Students shall not be penalized due to absence from class or other scheduled academic activity because of religious observances. Where practicable, major examinations, major assignments, and University ceremonies will not be scheduled on a major religious holy day. A student who is to be excused from class for a religious observance is not required to provide a second party certification of the reason for the absence. Resources for Faculty General Education: Information on General Education program requirements is available online at Service Learning: Information on integrating service learning into the course and course syllabus is available online at

9 Distance Learning: Information on distance learning courses is available online at Online Tutorials: Information on online tutorials to assist students is available online at Approved by Faculty Senate; Approved by Provost and Vice President for Academic Affairs P. 3 ANGEL Learning Management System and Demonstration Site: Information on ANGEL is available online at and Library Resources: Main page: Tutorials & Handouts: Research Guides: Faculty Support: Contact Us: The Center for Academic Achievement (CAA) provides academic support services to all FGCU students. Students can take advantage of our free peer tutoring and Supplemental Instruction sessions for lower-level math and science courses, as well as workshops to facilitate the development of skills necessary for college success. If you would like to participate in any of our programs, learn about tutoring services, or meet with an Academic Retention Coordinator, please visit the CAA in Library 103 or call us at (239) Our website is COURSE TOOLS: - ANGEL is the official web site of this class. It allows students to retrieve slides, handouts, assignment files, submit files and s to group members and to the instructor. Course syllabus, slides/notes, assignments are posted. You can send from Angel to other users and to your instructor. Every registered student has access to this site w/ a username and password. It is a student responsibility to check and use this web site regularly. - MYSTATLAB: For each chapter, you will find data files, case video streams, tutorials, virtual office hours, pre and post-tests, PowerPoint and e-book contents, excel simulations and also online tutoring service. This is a useful and optional learning aid. Course ID: Yazici12812 (used after purchasing the access code and signing in) - REQUIRED TEXT w/ MyStatLab access: Business Statistics, 8 th edition, by Groebner, Shannon, Fry & Smith, Hardbound with Mystatlab access: Package ISBN-10: ISBN-13: e-book (includes mystatlab tool): Business Statistics, CourseSmart etextbook, 8/E ISBN-10: ISBN-13: immediate purchase access at or Student value edition (loose- leaf): buy MyStatlab separately ISBN-10: , ISBN-13: Hardbound textbook, buy MyStatlab separately 9

10 10 Business Statistics, 8 th edition, by Groebner, Shannon, Fry & Smith, Pearson Education, ISBN-13: , ISBN-10: MyStatlab standalone: ISBN-10: ISBN-13: Card/ page Textbook Companion web site for the 8 th edition (use this for Excel data files): Mystslab Course ID: Yazici12812 (used after purchasing the access code and signing in) - Other Helpful textbooks: Essentials of Modern Business Statistics w/ Excel, 4e, Anderson, Sweeney, Wiliams. Statistical Techniques in Business Economics, 12th edition, by Lind, D.A., Marchal, W.G. and Wathen, S.A., Data Analysis Using Microsoft Excel, by Middleton, M.R., Thomson, SOFTWARE: Microsoft Excel ARTICLES: Provided on Angel as PDF or html files. COURSE STRUCTURE AND MODULES: 1. Introduction to Business Statistics (Text: Chapter 1) 2. Descriptive Statistics: (Text: Chapters 2, 3) Frequency distributions, Graphic representation Numerical measures of location 3. Sampling and Probability Distributions (Text: Chapters 4,5,6,7) Central Limit Theorem. Discrete Probability Distributions. Continuous Probability Distributions. 4. Inferential Statistics (Text: Chapters 8, 9, 10, 11, 12) Confidence Interval Estimation, Research Hypothesis Testing, One simple and Two sample testing, Analysis of Variance (ANOVA), F test; Chi-square, Measures of association. 5. Simple Linear and Multiple Regression Analysis (Chapters 14, 15) Least Squares Method, Multiple regression model, test for significance

11 11 QMB Spring 2013 Course Schedule 01/09/13 Business Statistics, Data types, Data Collection Methods Syllabus, Course Outline, Course requirements, Intro to ANGEL. Introduction to Data Analysis, Data Sources, Collection Methods. Chapter 1 Class example. Read Textbook: Chapter 1, pages 2-25, Visual Summary, pages 26-27, 01/16/13 Describing your Data, Graphs, Charts, Tables: Histograms, Bar & Pie charts, Line/Scatter Diagrams Chapter 2 Class practice. Submit Video Case 1: Statistical Data McDonalds, Mystatlab Multimedia Library/ Chapter 1 See the questions file in ANGEL before submitting your case assignment. Submit Article 1 write up. Read Textbook: Chapter 2, pages 32-75; Visual summary; pages 76-77, Mystatlab Multimedia Library/ Chapter 2 videos 01/23/13 Describing Data Using Numerical Measures: mean, standard deviation, range, percentiles, COV Chapter 3 Class practice. Homework review. Submit: Exercise 2-76 (Histogram), Exercise 2-74 (Line plot). Submit Case 2-1: Server Downtime (histogram, bar, pie charts Read Textbook: Chapter 3, Chapter 3, pages ; Visual summary, pages , MyStatLab/Multimedia Library/Chapter3 videos Read Textbook Chapter 1-3, Special review Section, pages /30/13 Intro to Probabilities, Discrete and Continuous Probability Distributions Chapters 5-6 Class examples. Homework review. Submit Exercise Submit Video Case 3 (Mystatlab Multimedia Library/ Chapter 2). Answer Discussion Questions from the textbook. Review Chapter 4 summary and equations, MyStatLab/Multimedia Library/Chapter4 videos Read Textbook: Chapter 5, pages , Discrete, binominal, poisson distributions, Visual summary, pages , MyStatLab/Multimedia Library/Chapter5 videos Read Textbook: Chapter 6, Continuous Probability distributions, Normal prob. Distribution, pages Visual Summary, pages , MyStatLab/Multimedia Library/Chapter6 videos 02/06/13 Introduction to Sampling distribution Chapter 7 Class examples. Homework review. Possible guest speaker: Steve Engelmann, Lean, 6 Sigma consultant. Submit Exercises 5-77 (discrete) and 5-80(Poisson). Submit Exercise 6-70 (Normal) Read Textbook: Chapter 7, sampling distribution of the mean, pages ; sampling distribution of a proportion: pages , Visual Summary, pages , MyStatLab/Multimedia Library/Chapter7 videos

12 12 Course schedule continues: 02/13/13 Term Project proposal brief team presentations. Web quiz 1 review. EXAM 1 Submit Term Project Milestone 0 Web Quiz 1, before 6: 30 pm, submit on ANGEL (Chapters 1,2,3,5,6,7) EXAM 1 in class (Chapters 1,2,3,5,6) 02/20/13 Estimating single population parameters, confidence interval, estimating population mean when sigma is known or unknown Class examples. Exam return. Homework review. Submit Exercises 7-37, Submit Article 2 write up Read Textbook: Chapter 8, pages , Visual summary: pages , MyStatLab/Multimedia Library/Chapter8 videos 02/27/13 Introduction to Hypothesis Testing, one and two tail testing Class examples. Homework review. Submit Exercise 8.25 (sigma unknown); 8-46 (sigma known) Read Textbook: Chapter 9, pages , visual summary: 387, MyStatLab/Multimedia Library/Chapter9 videos Exam 1 corrections. 03/06/13 SPRING BREAK 03/13/13 Estimation and Hypothesis Testing for Two Population means using independent samples Chapter 10 class examples. Homework review. Submit Exercise 9-99 (one tail, t and z), 9-97 (t, 2 tail) Submit Case 9.2 (t, one tail) Read Textbook: Chapter 10; pages (confidence interval estimation), MyStatLab/Multimedia Library/Chapter10 videos 03/20/13 Hypothesis Testing for Two Population variances Milestone 1 team pesentations Chapter 11 class examples. Homework review. Read Textbook: Chapter 11; pages , Visual summary: page 470, MyStatLab/Multimedia Library/Chapter11 videos Submit Term Project Milestone 1, and team presentations Submit Exercise 10-32, /27/13 Analysis of Variance, one-way analysis of variance Chapter 12 Class examples. Homework review. Read Textbook: Chapter 12, pages , MyStatLab/Multimedia Library/Chapter12 videos Submit Exercise (use Chi-square test). Submit Case 11-1 (use F test).

13 13 Course schedule continues 04/03/13 Introduction to LR and Correlation Chapter 14 class examples. Homework review. Submit Video Case 3 (video is at Mystatlab Multimedia Library/ Chapter 2; questions are on page 526) Submit Article write up 3 Read Textbook: Chapter 14, pages (scatter, correlation); (simple linear regression); (Uses for regression analysis), visual summary, page 624, MyStatLab/Multimedia Library/Chapter14 videos 04/10/13 Multiple Regression Chapter 15 class examples. Homework review. Submit Exercise (scatter, correlation); (regression analysis) Submit Case 14-3 (regression analysis Read Textbook: Chapter 15, Introduction to Multiple Regression, pages , MyStatLab/Multimedia Library/Chapter15 videos 04/17/13 Homework review. Web quiz 2 review. EXAM 2. Web Quiz 2, before 6:30 pm (Chapters 8,9, 10,11,14,15) EXAM 2 in class Chapters 8,9, 10,11,14,15 Submit Exercise /24/13 Exam 2 return. Team Final Term Proejct Presentations Submit Term Project Milestone 2 (between 04/17 and 04/23) and Milestone3 (milestone 3 is optional). Term Project Team Presentation 04/29/13 FINAL TERM PROJECT REPORT and FILES, 7:30 pm Note: Dr. Yazici reserves the right to change parts of this syllabus throughout the semester w/ notification IMPORTANT DATES about online exams and term project: (Change in these dates will be announced) EXAM 1 02/13 EXAM 2 04/17 WEB QUIZ 1 02/06-02/13 WEB QUIZ 2 04/10-04/17 Milestone 0 (Term Project proposal) 02/13 Milestone 1 03/20 Milestone /24 FINAL PROJECT 04/29, 7:30 pm Optional Cases: Video Case 4 (based on estimating population proportion; Case 10-2 (proportion data)