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Unformatted text preview: ECON 103, Lecture 1: Introduction and Review of Probability Maria Casanova [email protected] Office: 8385 Bunche Hall Office hours: Thursdays 9:15  10:45am Maria Casanova Lecture 1 Course Logistics Lectures: Tuesdays and Thursdays 11:00am  12:15, Broad 2160E Office hours: Thursdays 9:15  10:45, Bunche Hall 8385 This is an impacted course! If you want to drop it, you have to do so by Friday April 8 . Textbook: James H. Stock and Mark W. Watson: Introduction to Econometrics (second or third edition), Addison Wesley Lecture notes will be posted on the Classweb site before class. I will not bring copies! Maria Casanova Lecture 1 Course Logistics STATA is available on computers in CLICC lab (Powell Library) and in the Social Sciences Computing Lab (Public Affairs Building). You can also purchase your own version (see Syllabus for details). Teaching assistants: Peter Bergman Seth Kerstein Diego Ubfal Federico Zincenko See schedule for Discussion Sections at Registrar’s Office site. Maria Casanova Lecture 1 Course Logistics Requirements: 1) 6 problem sets – 25% Mix of multiple choice questions, analytic exercises, and STATA work. Lowest of 6 grades dropped. See Syllabus for the schedule. Due at beginning of class on due date. No exceptions! Must hand in hardcopy. You are encouraged to work together, but everyone must hand in their own hardcopy, and do the computer work independently. Maria Casanova Lecture 1 Course Logistics 2) Midterm – 25% (or 0%) In class on Thursday, April 21 . Very much like the problem sets. Optional – I will compute the final grade both with and without the midterm and use the better grade. No makeup exam! 3) Final – 50% (or 75%) Monday, June 6, 11:30am  2:30pm . Cumulative. Make sure you don’t have any conflicts on that date. No makeup exam Maria Casanova Lecture 1 Course Logistics Questions on course material and problem sets: Come to my office hours or your TA’s office hours. Post questions to the Classweb discussion board. TA’s will be monitoring the discussion board daily to answer such questions. Emails to me or TA’s on such questions will not be answered. Regrades: You can email your TA to request a regrade. The entire exam or homework will be regraded. Course outline  see Syllabus Maria Casanova Lecture 1 Course Overview Econometrics... uses statistical methods to analyze economic data....
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 Spring '07
 SandraBlack
 Normal Distribution, Probability theory, probability density function, Maria Casanova

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