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STA 3024 Introduction
to Statistics II Spring 2007
Course
Description and Objectives The
sequence of courses STA 2023-3024 provides students with a firm foundation in
the basics of applied statistical methods. The prerequisite for this course
is STA 2023, which covered chapters 1-8 in the textbook (Data collection,
graphical and numerical summaries, probability and an introduction to
statistical inference). Concepts from STA 2023 will be reviewed as needed.
Introduction to Statistics II focuses on the following four topics: 1.
Analysis
of Variance to compare three or
more population means 2.
Inference
for Regression, covering Simple
Linear Regression and Multiple Regression. 3.
Analysis
of Two-Way Tables to study the
relationship between two categorical variables. 4.
Nonparametric
Statistics that do not require
a Normal distribution of the response variable. Required Materials 1.
Statistics:
The Art and Science of Learning from Data, by Alan Agresti and
Chris Franklin, Prentice Hall, 2007. IMPORTANT - you will need the whole book,
chapters 1-14. Volume 1 of the book,
which includes only chapters 1-9 and is used in STA 2023
is NOT sufficient. You can purchase
the full book or, if you already have Volume 1, you can purchase Volume 2 to
complete it. 2.
Scientific
Calculator (around $10 to $15)
that has some basic statistical functions like mean and standard deviation
(look for the following symbols: Course
Website: http://www.stat.ufl.edu/~mripol Announcements
for the course, and computer output to supplement the examples done in class,
will be linked from this page. Once the semester is underway, there will also
be instructions on that website that will direct you to WebCT VISTA, an integrated, password protected, Web based classroom
management tool. In WebCT you will be able to
take the online quizzes, and check
all your grades. Note: The lectures for this class will NOT be available
online. Online
Quizzes - There will be four online quizzes,
administered through WebCT VISTA. You will have
three tries for each quiz (with questions randomly generated) over a period of
approximately 4 days. Each quiz will be worth 10 points, for a total of 40
points. Hopefully these quizzes will serve the purpose of improving your
grade in the class, as well as be an important tool in learning the material
for the course. More details on the WebCT quiz
functions will be given in class. Quiz dates and details will be announced in
class. Suggested
Homework Problems will
appear on the website. They will help you master the material but will not be
collected. Projects - There will be two data
analysis projects to be completed during the semester. Each project will be
worth 30 points, for a total of 60 points. Project dates and details will be
given in class.
Exams
- There will be three exams given
in class during the semester, each worth 100 points. All exams are in multiple choice format. Students are required to take the exam in the
section they are registered for. All students must bring to the exam: their student ID number, picture
ID, a calculator, and pencils. In case of conflict or illness, if a student is unable to take an exam at
the scheduled time, they must get in touch with the instructor immediately,
for any arrangements to be made for a makeup. Each case will be reviewed
individually. Valid and detailed documentation is a prerequisite under such
extenuating circumstances. A grade of zero is the minimum punishment of any
type of dishonesty on an exam.
Course
Policies: Email
– will be answered within one
working day in most cases. Please be aware that statistical questions should
be answered in person (in class or during office hours) since they often
require pictures and formulas that make it very hard to communicate through
email. Attendance
– although not required, is
very highly recommended. This class is NOT offered online. If you miss a
class for any reason, it is your responsibility to get a copy of the notes
and all information given in class from another student. Additionally, during
class students should turn off their cellular phones and refrain from eating,
drinking, reading newspapers, doing homework, listening to music and
excessive talking. Instructor's
Honor Code - We the members of
the Academic
Dishonesty - We adhere to the Grading
– grades will be changed only
when an error has been made. Negotiation is not appropriate. Incompletes are only assigned when extraordinary
circumstances, arising after the date for dropping the course, prevent the
student from completing the course requirements. Having a failing grade in
the course is not a valid reason for requesting an Incomplete. Students
with Disabilities - Students
who require special accommodations in class or during exams should follow the
procedures outlined by the Disability Resources Program
(http://www.dso.ufl.edu/drp/). Please see the instructor during office
hours early in the semester, to discuss your accommodation letter
confidentially. |
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and either s or σn-1). Graphing
calculators are not allowed.