Fall 2013* CONNECT PLUS information to students and link to web site

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1 Page 1 of 5 Elias T. Kirche, Ph.D. Associate Professor Information Systems and Operations Management College of Business Phone: (239) Fax: (239) ekirche@fgcu.edu Welcome to QMB 6305 Online Statistical Methods for Management About the Course Fall 2013* This course develops the basic statistical tools used in quantitative analysis in business. Topics include descriptive statistics, interval estimation, hypothesis tests, correlation and regression analysis, analysis of variance and analysis of categorical data. Emphasis is on applications, concepts and interpretation of results, rather than theory and calculations. Students use a computer software package for data analysis. Learning Objectives Select, understand and apply appropriate statistical tools for descriptive, inferential and predictive analysis of quantitative and qualitative data from a variety of scenarios. Use statistical software package for data analysis; understand basic data gathering and input considerations; and be able to interpret output. Know ethical considerations in collecting data and selection of appropriate analysis tools; and know how to report results in a fair, objective and neutral manner. Course Overview Office Location Lutgert Hall Suite 3304 * * This course is developed to be used in conjunction with online material available through Connect Plus. Click on the following link to see the information you will need to register for this site: CONNECT PLUS information to students and link to web site This course is organized in four main content modules that are to be completed in sequence. Each Module has assignments, quizzes and cases, and a readings list. The Main Modules, with their direct links are: Module 1: Presenting, Describing and Inferring from a

2 Page 2 of 5 * * Sample of Numerical Data Module 2: Simple Linear Regression and Correlation Module 3: Multiple Regression and Model Building Consultation Hours Voice/ Anytime On-campus Office Hours: Other times by appointment only Main Modules Table Each Module is further broken down into topics. For example, Module 1 includes chapters 3, 6, 7, 8 and 9. Module 2 includes chapter 12. Module 3 includes chapters 12 and 13. And module 4 includes chapters 10 and 11. Assignments / Grade Statistical Methods for Management involves "learning by doing" course assignments. The assignments are broken down into four (4) categories; Module 4: Comparing Multiple Samples of Numerical Data Learning Smart (LS) lessons found at the Connect site. These are online interactive learning exercises. In general, each LS lesson (one for each chapter) is setup for 10 minutes duration but it may take longer depending on your learning progress. When you access the Connect site you will see the following links to the LS exercises: Technology Support / Help Desk (239) or (239)

3 Page 3 of 5 You can start these LS lessons at any time but note the due date of each LS in the Schedule page. The average of all LS lessons scores has a 5% weight on the final grade. No late LS is allowed. Quizzes (also through Connect): These are online mini-tests designed to build your knowledge of the topic covered in each module. Pay attention that these online quizzes allows you to continue at your own pace (that is, you do not have to answer all the problems at once) and allows you to ask for hints or even have a second chance if the question/problem is not answered correctly. Have a good understanding of the setup before attempting to solve those problems. In general, there are 3-5 problems/questions per chapter and if the data is in a spreadsheet, it will be available for you to download and solve, before you can submit the appropriate answer. Take your time, the quizzes are NOT timed, but they do have a due date. See the Schedule for due dates. The average of all quizzes has a 20% weight on the final grade. Late quizzes have a 1% penalty per hour. Cases: These are more elaborate and practical application of what we covered in each module. There are four (4) cases, one for each module. You will be able to download these assignments, solve it and upload your report to the instructor via the appropriate link in Connect. Pay attention to due dates indicated in the Schedule page. These assignments will require the use of Excel. Students are encouraged to submit their analysis or questions to the instructor for feedback with sufficient time. The statistical analysis for all cases will be done using Microsoft Excel 2010 (earlier versions also work). The average of four cases has a 50% weight on the final grade. Late cases have a 10% penalty per day Exams: This course has a comprehensive final exam. The final exam will be available online through Connect at the end of the

4 Page 4 of 5 semester. You will have a window of 2 3 days to complete. The final exam has a 25% weight on the final grade. No late exam will be accepted. The course has been designed to give you flexibility to study at your own pace but you must complete and submit assignments in the required due dates. For example, you can start/finish any of the quizzes at any time; however, there is a 1% penalty per hour late after the due date/time. You do not need to complete the LS lessons before you start or submit any of the cases but again, you need to complete them according to their due date. Through Canvas you will have access to your grading for all assignments. Pay attention that the assignments done in Connect (LS, Quizzes, Cases, Exam) will have their scores exported to Canvas grade book as soon as they are available. Should you have any questions, please contact the instructor. Grading system Grades are: A (90-100% of total points); B (80-89%); C (70-79%); D (60-69%), and F (below 60%). Incomplete will be given by exception when a limited portion of the course material has not been completed by the last exam due date, in accordance with University policy published in the Catalog. The instructor on an individual basis will review each case. Schedule The Schedule provides a map of the course, and includes an index to Modules, Assignment and Exam Due Dates. The critical item to remember is that assignment due dates cannot be delayed. The Schedule may be accessed through links available at the bottom of this syllabus. Consult this schedule as often as necessary to maintain your progress up to date. Course Material Textbook: Essentials of Business Statistics: Communicating With Numbers Authors: S. Jaggia and A. Kelly The students have 3 options each with different cost/benefits (select one): 1. Hardcover with ConnectPlus: ISBN Loose leaf with ConnectPlus: ISBN Ebook with ConnectPlus: ISBN Software: Microsoft Excel 2010 (earlier versions will work).

5 Page 5 of 5 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 see me or contact the Office of Adaptive Services. The Office of Adaptive Services is located in Howard Hall, room 137. The phone number is or TTY * This is a planned course structure and may change if necessary to meet learning goals About the Course Module Schedule About the College of Business

6 Schedule mhtml:file://c:\documents and Settings\Owner\Desktop\syllabi\Schedule.mht Page 1 of 4 Module Schedule Statistical Methods for Management Fall 2013 Week Numbers Module Number and Content Assignments/ Due Dates Weeks 1-6 Module 1 Learning Objectives Describing Data with Pictures Sampling Procedures Describing Data with Number Summaries Estimating with Confidence Hypothesis- Testing Get familiar with course syllabus and schedule. /contact the instructor if you have questions. Pay attention that we ll use Excel Data Analysis option and Statistical Functions. See an explanation here. You may want to download a brief introduction to our course here. Introduce yourself to your classmates by responding to our Roll Call posted on Canvas by September 3. Read: Text Chap 1 (This is a good overview of data and statistics in business) Text Chap 2 section pay attention to using Excel for scatterplots Text Chap 3 (pay particular attention to 3.4 and 3.7 and the use of Excel for correlation). Skip 3.2 Text Chap 6 (sections 6.1, 6.2 and 6.3 only) Text Chap 7 (sections 7.1 and 7.2 only). Text Chap 8 (understand how to compute the confidence interval when σ is known (8.1) or

7 Schedule mhtml:file://c:\documents and Settings\Owner\Desktop\syllabi\Schedule.mht Page 2 of 4 unknown (8.2)) Text Chap 9 (all of it) Do: LS in Connect for Module 1: Due Sep 17 Quiz 1in Connect for Module 1: Due Sep 24 Case 1: Due Sep 24. Optional: Download Excel formula sheet here Watch instructional PowerPoint + video on using Excel for describing data with number summaries Watch instructional PowerPoint on using Excel for estimating with confidence when Sigma is KNOWN or UNKNOWN Watch instructional slides on using Excel for hypothesis testing Weeks 6-9 Module 2 Learning Objectives Correlation Analysis Simple Linear Regression: Present and Describe Linear Relationships Test Linear Relationships and Make Predictions Read: Text Chap 12. Pay attention to example 12.2 Using Excel to estimate the regression equation and using Excel to construct a Scatterplot and trend line (page 384). Pay special attention to sections 12.2 (R 2 ),12.3 (goodness-offit) and 12.4 (test of significance) Do: LS in Connect for Module 2: Due Oct 8 Quiz in Connect for Module 2: Due Oct 15 Case 2: Due Oct 15

8 Schedule mhtml:file://c:\documents and Settings\Owner\Desktop\syllabi\Schedule.mht Page 3 of 4 Weeks 9-12 Module 3 Learning Objectives Multiple Regression Model: Present, describe and test relationship between response and multiple explanatory variables Present, describe and test relationships involving interaction and dummy independent variables Optional: Watch a video on how to use Excel in simple linear regression problems SLR 1: Building a linear model SLR 2: Interpreting the output of Excel Read Text Chap 12. Pay attention to section 12.2 Text Chap 13. Do: LS in Connect for Module 3: Due Oct 22 Quiz in Connect for Module 3: Due Nov 5 Case 3: Due Nov 5 Optional: Watch a video on how to use Excel in multiple linear regression problems MLR 1: Building a multiple regression model MLR 2: Interpreting the output of Excel Week: Module 4 Learning Objectives Comparing 2 Independent Samples of Numerical Data Comparing 2 Related Samples of Numerical Data Confidence Interval Estimation & Hypothesis Testing for a Proportion Comparing Multiple Samples of Numerical Data: One Factor Read: Text Chap 10. Pay attention to using Excel for test of means. See examples 10.4 and Pay special attention to section 10.3 and the use of Excel for this test. Text Chap 11, sections 11.1 Scan 11.2 and 11.3 Do: LS in Connect for Module 4: Nov 19 Quiz in Connect for Module 4: Due Dec 3 Case 2: Due Dec 3

9 Schedule mhtml:file://c:\documents and Settings\Owner\Desktop\syllabi\Schedule.mht Page 4 of 4 Optional: Watch a video on how to use Excel in comparisons involving means For 2 population means For three or more population means Week 17 Final Exam Week Final exam will be posted in Connect. Due date Dec 10 About the Course Module Schedule (Top)