Syllabus STA 2023 – Hybrid Spring 2017
1.
Instructional Team:
Course Coordinator: Maria Ripol |
Lab Coordinator: Megan Mocko |
office: Griffin Floyd 117C |
office: Griffin Floyd 117B |
phone: (352)273-2976 |
phone: (352)273-2975 |
email: mripol@stat.ufl.edu |
email: mmeece@stat.ufl.edu |
office hours: MWF 9:30- 11:00 am |
office hours: MWF 10:30 am–12:00 noon |
Teaching Assistants: see Contact Us link in e-Learning for
emails, and Lab Schedule to see your TA’s name according to Lab meeting time
and section number.
2. General Course
Information
This course satisfies
General Education Credits in the Mathematical Sciences. Students learn how to
summarize data and how to make appropriate decisions based on data. This course
has a General Education Category of M.
Course Description
STA 2023 is an introductory course that assumes no prior knowledge of
statistics but does assume some knowledge of high school algebra. Basic
statistical concepts and methods are presented in a manner that emphasizes
understanding the principles of data collection and analysis rather than
theory. Much of the course will be devoted to discussions of how statistics is
commonly used in the real world. There are two major parts to this course:
I Data –
which includes graphical and numerical summaries to describe the distribution
of a variable, or the relationship between two variables (chapters 1, 2 and 3,
approximately 4 weeks), and data production to learn how to design good surveys
and experiments, collect data from samples that are representative of the whole
population, and avoid common sources of biases (chapter 4, 1 week.)
II Probability and Inference –
using the language of probability and the properties of numerical summaries
computed from a random samples (chapters 5 and 6, 3
weeks), we learn to draw conclusions about the population of interest, based on
our random sample, and attach a measure of reliability to them (chapters 7, 8,
9 approximately 8 weeks).
Course Objective
The primary goal of the course is to help students understand how the process
of posing a question, collecting data relevant to that question, analyzing
data, and interpreting data can help them find answers to real problems from
their world.
General Education Objective (Mathematics)
Courses in mathematics provide instruction in
computational strategies in fundamental mathematics including at least one of
the following: solving equations and inequalities, logic, statistics, algebra,
trigonometry, inductive and deductive reasoning. These courses include
reasoning in abstract mathematical systems, formulating mathematical models and
arguments, using mathematical models to solve problems and applying
mathematical concepts effectively to real-world situations.
In this course, this objective will be met by
. . .
During the semester the students will be
given an introduction to the three main aspects of statistics: design (of
experiments/surveys), description (of data collected) and inference (the
extension of conclusions from the data gathered in the sample to the larger
population). These concepts will be presented through lectures three times a
week and lab once a week. They will also learn about the normal and binomial
distributions as well as the methodology of confidence intervals and
significance tests. From the methods that they learn in class they will be able
to critique real world surveys and experiments, interpret graphs in newspapers
and magazines as well as conduct basic statistical inference for one or two
groups.
General Education Student Learning Outcomes
(SLOs)
Content: Students demonstrate
competence in the terminology, concepts, methodologies and theories used within
the discipline.
Communication: Students communicate
knowledge, ideas, and reasoning clearly and effectively in written or oral
forms appropriate to the discipline.
Critical Thinking: Students analyze
information carefully and logically from multiple perspectives, using
discipline specific methods and develop reasoned solutions to the problems.
In this course, these SLOs will be met by . . .
Content: Students will learn
critical terminology, concepts, methods, and theories during lecture. These
concepts will include terminology to describe one and two samples, discuss
surveys/experiments, basic probability theory, sampling distributions, and one
and two group inference. The students will be assessed on these terms and
concepts during the weekly quizzes and the three exams. Students will also
demonstrate their competence in identifying the appropriate formulas to use for
each situation and using those formulas correctly.
Communication: The students will use
verbal and written communication to discuss central statistical concepts in
their weekly labs. These concepts include description of data
sets, sampling methods and interpretations of inference methodology.
Critical Thinking: The students will be
asked to critically think about trustworthiness of surveys and experiments
presented in the media. Additionally, students will learn how to conduct
significance tests, a statistical method to logically determine if there is
enough evidence for a hypothesis. Students will learn how to state the null and
alternative hypotheses (different perspectives) and then to use the data
collected to determine if there is enough evidence to support the alternative
hypothesis using methods central to the field of statistics. The students will
be tested on these concepts in lab, quiz and on two of the exams.
Tentative Schedule of Topics
Week 1 |
Introduction to the field of Statistics,
Samples vs. Population, Types of Data |
Week 2 |
Graphical Summaries, Summary Statistics |
Week 3 |
Contingency Tables, Least Squares
Regression |
Week 4 |
Least Squares Regression, Simpson’s Paradox |
Week 5 |
Good Survey and Experimental Design |
Week 6 |
Basic Rules of Probability, Discrete Probability
Distributions |
Week 7 |
Normal Distribution, Binomial Distribution |
Week 8 |
Sampling Distribution of the Sample
Proportion and the Sample Mean |
Week 9 |
Confidence Interval for the Population Mean
and Population Proportion |
Week 10 |
Significance Test for the Population
Proportion |
Week 11 |
Significance Test for the Population Mean |
Week 12 |
Comparing Significance Test and Confidence
Intervals, Type I and II error |
Week 13 |
Comparing Two Independent Proportions |
Week 14 |
Comparing Two Independent Means |
Week 15 |
Comparing Means from Dependent
Samples; McNemar’s Test |
Week 16 |
Review |
3. Materials
Required Lab Workbook
·
Lab Workbook for Statistics: The Art and Science of Learning from
Data by Megan Mocko and Maria
Ripol, 4th edition, Pearson.
·
Lab Workbook MUST be purchased NEW, and is available
alone or bundled with the textbook. It
must be the 4th edition.
·
This workbook includes copies of the lecture notes
and the worksheets for the Lab portion of the course.
Recommended Textbook
·
Statistics: The Art and Science of Learning from Data by Agresti, Franklin, Klingenberg,
4th edition, Pearson, 2017.
·
Textbook
can be purchased:
o hardbound new or used
ISBN13: 9780321997838
o bundled with the Lab
Workbook ISBN: 9780134567662
Scientific Calculator
·
You
will need a calculator with some basic statistical functions: mean and standard
deviation.
· Many inexpensive calculators (around $15) have these functions; check the manual or look for the following symbols: x-bar and either s or σn-1.
· Graphing calculator will NOT BE ALLOWED on exams.
4. Course Website:
Announcements: http://www.stat.ufl.edu/~mripol/2023.htm
Information for the course and important announcements will
be posted there.
E-Learning-
CANVAS: http://elearning.ufl.edu/
This is a password protected website in e-Learning, an integrated, Web based
classroom management tool where you
will be able to:
·
check the Announcement page
·
check the calendar for upcoming quiz, exam or lab dates
·
watch the lectures as streaming video
·
take the online quizzes
·
check your grades
5. Lectures
Live Lectures
Live lectures are taught in a large lecture hall that should
accommodate everyone who wants to come.
Everyone is welcome to attend these live lectures, even those who are
registered for a Web class. Lectures will also be taught in a smaller classroom
where they will be videotaped. The
videotaped lectures will be available to view online through the course webpage
in e-learning the same day, before 4pm (usually around 1pm, as soon as the
lecture is recorded). No one is registered for this class, but everyone is
welcome to attend. However, this room
only seats around 25 students, so come early if you are interested.
Period |
Lecture |
Room |
MWF
6 |
live |
Norman
137 |
MWF
5 |
videotaping |
Norman
G 520 |
Online Lectures
Links to the videotaped lectures will be found at the course website. You can watch the videos at home – they work best with Internet Explorer. IMPORTANT - We cannot guarantee that the online lectures will work well for each of you. Be prepared to attend the live lectures if that turns out to be the case. Some students do not have the discipline to watch and really pay attention to the online lectures, or the videos are too slow. Please remember that everyone is welcome to attend the live lectures, regardless of which section they are registered for. If you’re having technical problems with the online lectures please contact the UF computer Help Desk for assistance: call (352) 392-HELP (4357) or email: helpdesk@ufl.edu
6. Weekly Lab Sessions in CBD220 or CSE E231
Students are required to attend Lab once
a week, according to the section for which they are registered. Worksheets with
instructions will be posted in e-learning at least one week before labs meet.
Students must PRINT these worksheets and bring them to lab. The worksheets must
be turned in to the TA before leaving Lab that day. They will be graded on a
scale of 6 points.
Each
lab activity will require students to work in groups. Students are responsible
for understanding the material covered in class and the quiz from the previous
week so they can complete the activity by following the instructions on the
worksheet. TAs will be in lab to facilitate the activity, but students are
expected to work independently to explore the statistical concepts with the
help of their group, according to the principles of active learning. If a
question arises, students should turn to other students in their group or table
to discuss them.
We
will be using TWO lab spaces this semester. Most lab sections meet in Classroom
Building 105, room 220 (CBD 220).
This building is located half a block north of University Avenue, across from
Library West. A few sections will meet in CSE
E231, which is located close to Turlington and
the Marston Science Library. To account for the different spaces and different
size groups and tables, please note that
the Lab Worksheets will be slightly different for the two rooms so you must
print the correct ones to bring to lab.
Lab
Attendance and Policies:
·
Go to the right section and the right
room. Students must attend the section they are registered for -
you will get no credit for your work if you attend a different section.
·
Be on time. Students
must be on time for Labs, and will not be allowed to complete the activity if
they are more than five minutes late. Late students would disrupt the activity,
and create problems for the rest of the students and the TA, so it will not be
tolerated.
·
Be prepared. Students
must come prepared to Lab, having watched the lectures that cover material
relevant to the Lab's activity and understood the material on the quiz.
·
Print and Bring the Worksheet. Students
must print the correct Lab Worksheet
that will be posted in Canvas and bring it to Lab- you will get no credit for
hand written labs.
·
No Makeups. Students
will not be permitted to make up any Labs that they have missed, regardless of
the reason. Instead, we will drop the lowest three grades for all labs and
quizzes combined.
NOTE: If you are registered for a lab section that conflicts with another class,
with several night assembly exams for other classes, or if you know you will
have trouble arriving on time, you MUST CHANGE LAB SECTIONS IMMEDIATELY.
STA 2023 Labs will never meet on the days we have an exam. There are usually
plenty of opportunities to change sections during Drop/Add period. After
Drop/Add is over, you will need to contact the Lab Coordinator to see if any
changes are possible - see the top of this syllabus for the Lab Coordinator's
contact information.
7. Online Quizzes through e-learning
·
When? We will have online
quizzes every week, unless there are exams or holidays. The quizzes are
available online, through e-Learning, over a period of several days – the exact
details will be announced in class and posted in the announcement page.
·
Where? You can do the
quizzes from any computer that has internet access.
·
Material.
These quizzes will cover the material taught in class that week, and are
designed primarily to encourage you to keep up with the lectures, particularly
if you choose to watch them on the web at your own pace. You should watch the
lectures and take the weekly quiz BEFORE going to lab.
·
Three tries. You
will be allowed three attempts for each quiz – each randomly generated, so the
questions won't be identical. The highest grade will be recorded.
·
Getting help. You
are allowed to ask the TA's and the instructor questions about submitted
attempts on the quiz only. For example, you can take the quiz one time, submit
the quiz for grading, and then print out the quiz. You can then bring this
printout with you to the tutoring room, where the TA's can help understand what
you did wrong. You can then go and try attempt 2 on your own.
·
No makeups. There
will be no makeup quizzes for any reason. Instead, we will drop the lowest
three grades for all labs and quizzes combined.
·
Do well. Given
all these opportunities, all students should do extremely well on the quizzes.
Hopefully they 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. You can
also print your quizzes and use them to study for exams.
·
Problems?
Pop-ups. If
you click on the quiz and nothing happens, you need to allow pop-ups for this
website. Firewalls may also interfere with the quizzes.
Computer
crashes in the middle of the quiz or electricity goes out? Restart
the computer and log in again into e-Learning – it should let you continue the quiz.
If for some reason, the system does not let you back into the quiz, email the
instructor at mripol@stat.ufl.edu.
Time
Expired. If e-Learning gives you nasty messages about your time being
expired, ignore them, finish the quiz and submit it.
Technical
Problems. If you have technical problems with e-Learning, contact the
computer help desk at 352-392-HELP. If you are having trouble with the quizzes
from your computer at home, and the quiz is about to close, the easiest thing
to do is try from another computer.
8. Exams
There
will be three assembly exams, each worth 100 points. The two midterms are given
at night, and the last one during final exam week. Each exam consists of 33
multiple choice questions, each worth 3 points apiece. This will total 99
points. You can earn the remaining 1 point by bringing a picture ID to the exam
and by bubbling in your name, UF ID# and test code (listed on the front page of
the exam) correctly. Exams will cover a larger amount of material that the
quizzes and will also place more emphasis in the understanding of concepts and
ideas behind the formulas.
Room assignments for each exam will be
announced in class and on the website. The class will be divided up by
sections. Bring to the exam your UFID number, a
picture ID, no.2 pencils and eraser for completing the bubble sheets, and a
scientific calculator. Graphing
calculators may be NOT used during the exam. Notes for the course and
formulas for the course should not be typed into your calculator. Accessing
notes and formulas from the course on your calculator during the exam is
cheating. Accessing your cell phone or communicating with another individual
through a digital device during the exam is also considered cheating. Academic dishonesty on any exam will
result in a minimum penalty of a grade of zero on that exam.
Exam |
Date |
Time |
Sections
in Book |
Workbook
Pages |
1 |
Wed
Feb 15 |
8:20
– 10:00 PM |
Ch.
1 –Sec. 6.3 |
1-48 |
2 |
Wed
March 29 |
8:20
– 10:00 PM |
Ch.
7 –Sec. 9.2 |
49 - 85 |
3 |
Sat
April 22 |
12:30
– 2:10 PM |
Ch.
8 - Sec. 10.4 |
61 - 119 |
Makeup
Exam Policy
·
In case of conflict with a class: Assembly
exams have priority over regularly scheduled classes. The instructor for the other
class must allow you to make up any work you miss because of an assembly exam -
contact them early to make arrangements. This is a University of Florida
policy, as stated on the Registrar's website https://catalog.ufl.edu/ugrad/current/regulations/info/exams.aspx
·
In case of conflict with another exam: Assembly
exams have priority over time-of-class exams. If you have two assembly exams
scheduled for the same day and time, the course with the higher number has
priority. This is a University of Florida policy, as stated on the Registrar's
website. If you need to schedule a makeup, contact the instructor of the
appropriate class early – do not wait until the last minute. Makeup
arrangements for this class must be made at least ONE WEEK prior to the
regularly scheduled exam.
·
In case of sudden illness or emergency: Contact
the instructor as soon as you realize you will be unable to take the test at
the scheduled time. Each case will be reviewed individually. Valid and detailed
documentation is a prerequisite for scheduling a makeup exam under such
extenuating circumstances. The instructor must be contacted PRIOR to the
time of the regularly scheduled exam.
·
Format of Makeup Exams
will not necessarily be multiple choice although it will cover the same
material as the regular exam.
Travel Plans. Traveling, in general, is NOT a valid reason to request a makeup exam. Do not buy plane tickets assuming the instructor will automatically make other arrangements for your exam.
9. Lecture Notes
The
notes in the Lab Workbook will be used in class. When you are following the
lectures, whether live or on the web, you should always have the lecture notes
in front of you. The instructor will go over the definitions and theory, and
work out the examples on the spaces provided.
10. Homework
and Practice Questions
·
Suggested Homework Problems
from the text, by section, can be found on the course webpage in e-Learning.
These problems are assigned to help you master the material and will not be
collected. You can get help with these problems from the tutors in the Tutoring
Room. Doing the homework is an essential step in succeeding in this class.
·
Answers to odd numbered homework problems are
available in the back of the text. Answers to all of the problems are available in the Instructor's Guide – copies
of this are available in the Tutoring Room, and on reserve at Marston
Science Library.
11. Minitab Statistical Computing Package
Minitab
is a very easy to use and powerful statistical computing package. We will use
Minitab in several of our Lab activities - the worksheets will have directions
on how to use it. You can also use Minitab to solve some of the homework problems
assigned from the book. The data sets for most homework problems can be found
at http://www.artofstat.com/ .
Minitab
is available free through UF
Apps and at all the PC’s (not Macs) on the Computer Labs on
campus. You can also buy it for your home computer (or download the demo
version - free for 30 days) at the Minitab website at www.minitab.com, or
rent a copy of the software for a semester at www.e-academy.com/minitab.
12. Tutoring Room
The TA's for the class will be available to answer questions about the material covered in class, homework problems, etc, in the Tutoring Room located in Griffin Floyd 104. It will be open approximately 40 hours a week – the schedule for this semester will be posted in e-learning. There is no need to make an appointment, just go whenever it is convenient for you and the TA on duty will help answer your questions.
13.
Course Assessment
Grade
Structure: |
|
Exam 1 |
100 |
Exam 2 |
100 |
Exam 3 |
100 |
Labs and Quizzes |
100 |
Total |
400 |
Grading
Scale:
Letter
Grade |
Minimum
Points (out
of 400) |
Percentage
Points (rounded off) |
Grade
Points |
A . |
358 |
90-100 |
4.0 |
A
- |
346 |
87-89 |
3.67 |
B+ |
334 |
84-86 |
3.33 |
B . |
318 |
80-83 |
3.0 |
B
- |
306 |
77-79 |
2.67 |
C+ |
294 |
74-76 |
2.33 |
C . |
278 |
70-73 |
2.0 |
C
- |
266 |
67-69 |
1.67 |
D+ |
254 |
64-66 |
1.33 |
D . |
238 |
60-63 |
1.0 |
D
- |
226 |
57-59 |
0.67 |
E . |
0 |
0-56 |
0 |
More
information on grades and grading policies is here: https://catalog.ufl.edu/ugrad/current/regulations/info/grades.aspx
14.
Course Policies
·
Email: Email
relating to information about the class should be sent to your TA (see email
addresses on first section of this syllabus) or to the instructor at
mripol@stat.ufl.edu. Your message will be answered within two working days, in
most cases. However, we ask you to please refer to this Syllabus, the Announcement
Page and the course website to try to find the answers for yourself. Questions
regarding the material covered in class, homework problems, or Lab should be
asked in person, in the Tutoring Room, in Lab or in class. Statistical
questions often require formulas or pictures, which can make it very hard to
communicate by email. Emails should include your full name, and section number.
If you are referring to a quiz, refer to it by quiz number, attempt number and
question number.
·
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 policies.
·
Class Attendance and Behavior: Attendance
to class is not mandatory, since you will be able to watch the lectures online.
Attendance to Lab, however, is mandatory, and you are required to attend the
Lab section for which you are registered. For both Labs and lectures, we ask
that you arrive on time, and to behave in a respectful manner towards the
instructors and your fellow students. In fact, no one will receive credit for
Lab if they are more than five minutes late. Please turn your off cellular
phones and refrain from eating, drinking, reading newspapers, doing homework
for other classes, and excessive talking.
·
Makeup Quizzes and Labs: There
will be NO makeup labs or quizzes under any circumstances - instead, we will
drop the lowest three grades for all labs and quizzes combined. These three
drops are meant to allow for missed labs or quizzes due to illness, personal or
family emergency, personal or University sanctioned travel, religious
observance, tardiness, laziness, and all other reasons. Do not abuse your drops
- you never know if you will need them later.
·
Makeup Exams: See
the section on Exams for exam makeup policy.
·
Grading: Grades
will be changed only when an error has been made; negotiation is not
appropriate.
·
Incompletes are
only assigned when extraordinary circumstances (such as an accident, or
extended hospitalization), 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.
·
Online
Evaluations: Students are expected to provide feedback on the quality of
instruction in this course by completing online evaluations at https://evaluations.ufl.edu. Evaluations
are typically open during the last two or three weeks of the semester, but
students will be given specific times when they are open. Summary results of
these assessments are available to students at https://evaluations.ufl.edu/results/
15. Where to Get Help for this course:
·
in class, from your instructor
·
in Lab, from your TA
·
in the Tutoring Room, Griffin Floyd 104
·
for many classes, not just statistics, at the Tutoring Lab in
the Basement of Broward Hall - a schedule of their hours can be obtained by
calling 392-2010 or by accessing www.teachingcenter.ufl.edu.
·
as a last resort, by getting (and paying) a private tutor. A
list of private tutors can be obtained from the Statistics Department secretary
in Griffin-Floyd 103.
16.
How to do well in the course:
·
Keep up with the lectures. Remember everyone is welcome to attend
the live lectures. If you choose to watch them online, do it regularly and at
normal speed and pay them your full attention.
·
Keep up with the course announcements.
·
Attend lab regularly, on time, and having mastered the
material in lecture and quiz from the previous week.
·
Take the online quizzes early, and use all the attempts
necessary to get a good grade on them.
·
Do well on the labs and quizzes, and complete them on time.
That is the easiest way to improve your grade.
·
Work out the suggested homework problems regularly, soon
after the material is covered in lecture. Check your answers at the Marston
Science Library or with the TA’s in the Tutoring Room.
·
Visit the Tutoring Room regularly to get help from the TA’s.
Their job is to clarify any questions that you may have, and to help you
understand the material and learn to do the problems.
·
Get to know other students in the class and get together
regularly to work on homework problems, and to study for quizzes and exams.
·
Prepare carefully for exams by going over the lectures, doing
your homework and practice questions, studying your quizzes and reading the
book. Pay special attention to the understanding of concepts and ideas behind
the formulas.
·
If you are having trouble with the class, talk to the
instructor in person, early on, to get suggestions on how to do better. Do not
wait until the last week to bring any problems to the instructor's attention.
17. Instructor Evaluations
Students
are expected to provide feedback on the quality of instruction in this course
based on 10 criteria. These evaluations are conduced online at https://evaluations.ufl.edu/ . Evaluations
are typically open during the last two or three weeks of the semester, but students
will be given specific times when they are open. Summary results of these
assessments are available to students at https://evaluations.ufl.edu/results
18. Other University Services
U Matter, We Care: Your well-being is important to the
University of Florida. The U Matter, We Care initiative is committed to
creating a culture of care on our campus by encouraging members of our
community to look out for one another and to reach out for help if a member of
our community is in need. If you or a friend is in distress, please
contact umatter@ufl.edu so that the U
Matter, We Care Team can reach out to the student in distress. A nighttime
and weekend crisis counselor is available by phone at 352-392-1575. The U
Matter, We Care Team can help connect students to the many other helping
resources available including, but not limited to, Victim Advocates, Housing
staff, and the Counseling and Wellness Center. Please remember that
asking for help is a sign of strength. In case of emergency, call 911.
Sexual Assault Recovery Services (SARS): Student
Health Center, 392-1161
University Police Department, 392-1111 (or 911
for emergencies) http://www.police.ufl.edu