Introduction to Statistics II Fall 2014
Instructor: Maria Ripol
office: Griffin Floyd 117 C
phone: (352) 273-2976
office hours: MW 6th and
7th periodd (12:50 – 2:45 pm)
Lectures: MWF 2nd pd, MCCC100, sec 4432
MWF 4th pd,
NRN137, sec 4433
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
2. Simple Linear Regression and Multiple Regression to predict a quantitative
3. Analysis of Two-Way Tables to study the relationship between two
4. Nonparametric Statistics that do not require a Normal distribution of the
1. Statistics: The Art and Science of
Learning from Data, by Alan Agresti and Chris
Franklin, 3rd edition, Prentice Hall.
2. 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.
Course Website in SAKAI: https://lss.at.ufl.edu/ (use ORANGE button)
This 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. Online quizzes
will be administered there.
Quizzes - There
will be approximately four online quizzes, administered through E-Learning.
You will have three tries for each quiz (with questions randomly generated)
over a period of several 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.
Suggested Homework Problems will appear on the website. They will help
you master the material but will not be collected.
Projects - There will be several small data
analysis projects to be completed during the semester. All projects together
will be worth 60 points. Project dates and details will be given in class.
Exams - There will be three exams given
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
non-graphing 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.
Exam 1 - Friday, October 3rd
in class - Ch 10 and 14
- Comparing Groups
Exam 2 - Wed, November 12th in class
12 and 13 - Regression
Exam 3 - Wed, December 10th in class
- Ch11 and 15 -
Chi Squared and Nonparametrics
Exam 1 100 points
Exam 2 100
Exam 3 100
Projects 60 points
Quizzes 40 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 to Instructor – 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.
- 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.