STA 3024 Introduction to Statistics
Instructor: Maria Ripol
office: Griffin Floyd 117 C
phone: (352) 273-2976
office hours: MWF 7th period (1:55 –
4th pd, NRN137, sec 4433
hours: MWF3-5 pm
in Griffin Floyd 209
Xiaofan Xu office hours: T 4-7pm, R 3-6pm in Griffin
Course Description and Objectives
In this course, students learn how to summarize data, analyze it, and make
appropriate decisions based on it. This course satisfies General Education
Credits in the Mathematical Sciences and is in the general category of M.
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 1-9 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.
The course 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
3. Analysis of Two-Way Tables to study the relationship between two
4. Nonparametric Statistics that do not require a Normal distribution of the
Statistics: The Art and Science of Learning from
Data, by Alan Agresti and Chris
Franklin, 2nd edition, Prentice Hall.
Scientific Calculator (around $10 to $15) that has
some basic statistical functions like
mean and standard deviation Graphing calculators are not allowed during the exams.
is the portal for UF’s E-learning website.
You must log on using your gatorlink
username and password, and access the course webpages from there. Important information about the course,
including this syllabus, announcements, and computer output to supplement the
examples done in class, your grades throughout the semester, and the online
quizzes will be posted there.
- There will be four online quizzes, administered through E-Learning. 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. Quiz dates and details will be
announced in class.
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 prior to the exam time, 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.
1 - Wed, September 28th (8:20-10:00pm) -
Ch 10 and 14
- Comparing Groups
Exam 2 - Wed, November 2nd (8:20-10:00pm)
12 and 13 - Regression
Exam 3 - TBD
by Registrar - Ch11 and 15 -
Chi Squared and Nonparametrics
Exam 1 100 points
Exam 2 100
Exam 3 100
Projects 60 points
90% to 100%
A- 87% to 89%
84% to 86%
B 80% to
B- 77% to 79%
74% to 76%
C 70% to
C- 64% to 69%
(No D+ or D- given)
E 59% and below
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. Please be aware that sections of this course with a
different instructor may cover the material in different order.
Behavior - during class
students should turn off their cellular phones and refrain from eating,
drinking, reading newspapers, doing homework, listening to music, excessive
talking and all other behaviors that are distracting and disrespectful to the
instructor and their fellow students.
designated “UF directory information” may be released without your written
consent. This applies to parents or anyone else who contacts me about your
Instructor's Honor Code - We the members of the University of Florida
community, pledge to hold ourselves and our peers to the highest standards of
honesty and integrity.
Academic Dishonesty - We adhere to the University of Florida rules and
guidelines for handling instances of academic dishonesty. Please refer to the
Office for Student Services for detailed information about the current
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 in person during office hours, early in the semester, to discuss
your accommodation letter confidentially.