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COURSE DESCRIPTION
CONTENTS
POLICIES AND OTHER INFORMATION
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STA 6166 Statistical Methods in Research I (Distance Learning)
Course Description :
This is an introductory course in statistical methods aimed at graduate students in the biological and physical sciences. The topics covered range from basic probability concepts and statistical distributions to simple hypothesis testing for one or two samples, which is later extended to one- and two-way analysis of variance in experimental design. The final topics are simple and multiple regressions followed by some basic non-parametric tests. This is a 3-credit course and will require, on average, 12 to 16 hours of work per week.
Prerequisites: The only formal prerequisite for this course is College Algebra. However, this class assumes that you have a reasonable prior level of mathematics or statistics. If you have no taken any prior statistics class then you should NOT take this course. If this is your case, we recommend you to take a formal on-campus graduate or undergraduate class (e.g. STA2023 or STA6166), unless you have plenty of time to assign for individual study.
Course Objectives :
Train graduate students in basic statistical tools with the aim of promoting sound scientific research based on good statistical thinking and practice.
Course Activities :
The course usually consists in 3 take-home exams and 5 homework assignments. All of these activities are worked individually. The exams are cumulative and homework is aimed to assist in revising the material discussed earlier and in encouraging the use of statistical software.
Software information :
You will need a computer for some of the homework assignments. However, any statistical package of your choice can be used. The software used in notes will be SAS 9.2. To obtain it you may join into a pilot Student Home-Use Program as described on UF’s website . To get a student copy you must first go to the UF bookstore.
Contact: Salvador A. Gezan
Office: 420 McCarthy C
Phone: (352) 392-3035
E-mail: sgezan@ufl.edu
For more information about the course click here
This page was last updated 2 June 2009
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