Syllabus ECO 6415 (Fall 2018) (1).pdf - Department of...

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1Department of Economics and Geography Coggin College of Business Making Decisions with Data (ECO 6415) Fall 2018 (Aug 20th, 2018 - Dec 7th, 2018) Instructor: Chiradip Chatterjee Office: Building 42 Room 3405 Email: [email protected] Website: Phone: (904) 620-5354 Lecture hours: Tuesdays and Thursdays 06:00 PM to 07:15 PM, Building 42 Room 2105 (CRN: 80253) Office hours: Mondays, Tuesdays, Wednesdays and Thursdays 02:00 PM to 04:30 PM Wednesdays between 1 PM and 5 PM, and by appointmentCourse Objective: This course helps graduate Economics and Business students develop a foundation of data analysis. Objectives of this course includes how to apply continuous probability distributions to various business problems, understand hypothesis testing, learn non-parametric test such as the Chi-Square test for Independence as well as goodness of fit, understand regression analysis, be able to compute and interpret the results of bivariate and multivariate Regression, compute and interpret correlation analysis, perform ANOVA and F-test, understand both the meaning and applicability of a dummy variable, understand the assumptions which underline a regression model and most importantly, perform a multiple regression and time series analysis using computer software. Prerequisite: The course requires successful pre-completion of STA 2023or equivalent. Students need a good knowledge of algebra and finite mathematics to handle tools of this course. Textbook: The recommended text for the course is Statistics for Business & Economics by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, and James J. Cochran, 12thEdition. Student-copy ISBN: 978-1-133-27453-7. Minitab Software Student Version 18:Minitab is available in the Matthews Computer Lab (15/2102) and the CCB Skills Lab. Minitab is also accessible through UNF’s Virtual lab at . However, you might need to update your computer program and install few add-ons as required to use this service. Please contact the Information Technology Services help desk and I suggest you go with your laptop. They will help you to do so. Check the following link for their address and hours: .
2Grading: There will be three exams, five quizzes (only highest four will be considered) and a mandatory group regression project. The following weights apply: Exam 1 (20%), Exam 2 (20%), Final (30%), Quizzes (5% x 4 = 20%), and a Group Project (10%). Attendance and Extra Credit: Attendance at every class is highly recommended. If attendance is equal or more than 80%, student can earn up-to 25% of missed points of Exam 1 and Exam 2 if they collect their exams and redo the problems they missed with explanations. Attendance needs to be both physical and mental. If you plan to sit in class, and work on your cell phone, personal computer, material from other classes, you might be asked to leave the classroom and will be marked absent.

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