SyllabusStat220

SyllabusStat220 - SYLLABUS Dishwasher Safe STAT 3025Q-01:...

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SYLLABUS Dishwasher Safe STAT 3025Q-01: STATISTICAL METHODS Class Hour and Class Room Class Hour : Tuesdays and Thursdays 11:00am - 12:30pm every week. ( Saturday and Sunday: 4:30am-6:00am ) Class Room : CLAS 110. Website for Stat STAT 3025Q-01 P lease frequently visit the course materials website at http://www.stat.uconn.edu/ mlan for all course materials and information including course syllabus, text- books, course documents, homework assignments, Fnal exam, and some others. The course materials will be posted also on HuskyCT. You are responsible for the material covered in the text, lectures, and homework. Instructor Name : CYR EMILE M’LAN OFce : CLAS 324 OFce hours : Tuesday 9:00am - 10:00am and 2:00pm - 3:00pm or by appointment. ( Open on legal and illegal holidays - Closed on Sunday for mental repairs ) Email : mlan@stat.uconn.edu Tel : (860) 486 - 4192. ±ax : (860) 486 - 4113. 1
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About Textbooks Introduction to Probability and Statistics for Engineers and Scientists, fourth edi- tion, by Sheldon M. Ross, Academic Press. ISBN: 978-0-12-370483-2 A scientifc calculator. About Computing R is the most popular statistical computing environment and is freely available at http://www.R-project.org . Some of the materials covered will be illustrated using R. Prerequisites MATH 114 or 116 or 136 (Calculus Level II). Grader Name : Rui Wu Email : rui.wu@uconn.edu OFce : CLAS 337. Tutoring Hour at CLAS 325 Monday: 1:00pm-3:00pm with Tony Jian Tuesday: 11:00am-12:00pm with Bhargab Chattopadhyay Thursday: 11:00am-12:00pm with Bhargab Chattopadhyay Friday: 11:30am-3:30pm with Valerie Pare 2
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Course Description Three credits. This course pretty much follows the textbook: basic probability distributions, point and interval estimation, tests of hypotheses, correlation and regression, analysis of variance, experimental design, non-parametric procedures. Descriptive Statistics: graphical methods and numerical methods . (Chapter 2) Probability: calculating probability of an event, counting rules, conditional probabil- ity, independent events, law of total, bayes’s theorem, venn diagram, tree-diagram, contingency tables . (Chapter 3) Random Variables and their Probability Distribution: discrete random variables, probability distribution, jointly distributed Random Variables, independence, condi-
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This note was uploaded on 10/01/2009 for the course CHEM 334 taught by Professor Lei during the Spring '09 term at UConn.

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SyllabusStat220 - SYLLABUS Dishwasher Safe STAT 3025Q-01:...

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