Syllabus for Math 123 (Introduction to
Statistics)
May Term 2014 at Lycoming College
Course Content
Topics
include both descriptive and inferential statistics: graphical displays involving
one or more qualitative and/or quantitative variables; numerical summaries to
measure characteristics such as the center of a distribution, variation in a
distribution, and symmetry or skewness in a
distribution; random sampling; the normal distribution; the Central Limit
Theorem; one and two sample hypothesis tests and confidence intervals involving
means and proportions; oneway analysis of variance; the chisquare
goodnessoffit test; the chisquare test concerning independence in a twoway contingency
table; Pearson correlation and testing for significance with simple linear
regression. The major goal of this
course is to provide the student with an understanding how descriptive and
inferential statistics are applied and interpreted in a variety of fields, such
as business, psychology, sociology, science, etc. This course is required by
several majors and counts toward the mathematics distribution requirement. Heavy use is made of the TI84 calculator and
the SPSS statistical software,
Course Goals
Since
this course counts toward the mathematics distribution requirement, goals for
this course include fostering critical thinking skills and preparation for
further work in the scientific traditions that require the collection and
statistical analysis of data. Since this
course can count for the mathematics major, goals for this course also include
developing the ability to assess the probability of a simple random event, to
interpret the result of a simple statistical study, and to solve mathematical
problems with the use of technology.
Who Should
be Taking This Course
This
course is designed for students required to take a statistics course or who
have a specific interest in statistics; students who are only looking for a
course to satisfy the mathematics distribution requirement may also take this
course, but such students should consider the other mathematics courses
available if there is no specific interest in statistics. Math 100 (Basic Algebra) is a prerequisite
for this course; students who do not satisfy this prerequisite will have
their names removed from the roster.

Instructor(s)
Name 
Office Location 
Office Hours * 
Office
Phone 
Ms Diane Abercrombie 
Academic
Center D309 
Immediately after class each day by appointment 
(570)
3214286 
*You may of course email your
instructor for an appointment at other times
Grading
Item 
Point
Values and Policies 
Homework 
Points
from homework assignments leading up to each exam are added, up to a maximum
total of 50. Completing all homework
is strongly encouraged, even though no more than 50 points can be earned
leading up to each exam. No points are ever given for late homework for any reason. Students who miss submitting an assignment
on time can still earn the maximum 50 points leading up to the exam, if no
more than 2 or 3 other homework assignments are missed. Due dates
are available from the course
schedule. A
student who misses submitting more than 15 homework assignments automatically
fails the course. 
Semester Exams 
Up
to 150 points can be earned on each semester exam given in class. For each missed exam, a grade of zero is
recorded, unless (1) the instructor is presented with documented evidence of
a medical reason for not completing the exam at the scheduled time, and (2)
arrangements to make up the exam are made within 24 hours of the originally
scheduled exam time. Exam dates are
available from the course
schedule. 
Project 
The
project is worth 200 points and involves the formulation of
a research question and the analysis of relevant data. 
Final Exam 
The
final exam is worth 400 points, with 50 points coming from the homework
leading up to the final exam and 350 points coming from the final exam
administered during final exam week. 
Attendance 
Because of the amount of material covered in one May Term class
period, attendance is extremely important. The final course grade
percentage is reduced by 4% for each unexcused absence after the third
unexcused absence; an absence is considered to be excused when the instructor
accepts an email from the student explaining the reason for the absence. It is the student’s responsibility to find
out what was missed in class and keep up with the coursework. Students can get a copy of class notes from
the instructor or from a classmate. A student with more than 4 unexcused
absences automatically fails the course. 
There
is a total of 1400 points that can be earned.
The final course grade percentage is the percentage of points earned
out of the total number of points that can be earned. The final course letter grade is determined
from the following: A
= above 93.33% A– = 90%
to 93.33% B+
= 86.67% to 90% B = 83.33%
to 86.67% B– = 80% to 83.33% C+
= 76.67% to 80% C = 73.33%
to 76.67% C– = 70% to 73.33% D+
= 66.67% to 70% D = 63.33% to
66.67% D– = 60% to 63.33% F
= below 60% 
Required Materials
Each
student must have
·
one or two threering binders with a section containing a
copy of this syllabus together with the course schedule, a section containing
the class exercises, a section containing the textbook (optional) and the
appendices (required), a section containing the exercise sets (required) and
answers to oddnumbered exercises (optional), and a section containing SPSS
labs (optional) (Since students will
need to use these binders every day in class and will be allowed to use these
threering binders for exams, they should be kept uptodate and complete;
also, many of the exercises assigned both in and out of class will refer back
to work done in one or more previous exercises.)
·
any TI84 or
TI83 calculator (regular, plus, or Silver Edition) – students will need to use
the calculator almost every day in class, for completing many of the required
assignments, and on exams
·
a computer
account on the college network in order to access to the SPSS statistical
package
Course Links
Text
Exercise Sets and Answers to Odd Numbered Exercises
SPSS Lab
Exercises and Using
SPSS for Windows
Description of Required
Project
Selecting the Proper
Statistical Procedures
Note: In the event that links do not
work, because the server is down, hardcopies of the textbook units and
appendices, the exercises sets, the answers to odd numbered exercises, and the
lab exercises are all on permanent reserve in the college library under
“Sprechini – Math 123”
Tips for Success in This Course
(1)
Keep up with the homework  understanding every homework assignment as
completely as you can is the key to grasping the course material. Even though there will be some homework
assignments that you may not be required to submit, do them anyway, since they
will help you master the material. Check
all your homework answers with a tutor before submitting an assignment.
(2)
In the assigned reading material, you will find selftest problems with answers
provided at the end of the section.
(3)
As part of your preparation for exams, do all suggested oddnumbered exercises
that were not assigned for homework, and start working on these about a week
before the exam date  don't wait for the night before the exam.
(4)
Get your questions answered quickly by the course instructor or a classmate.
(5)
Keep your binder uptodate and wellorganized, since you are allowed to use
the binder for exams.
General Standards and Policies
All work submitted must be of
professional quality. All paper must be
neat, without ragged edges, rips, tears, smudges, stains, etc. All answers must be clear, complete, and
concise; handwriting must be legible. If
the instructor can't read it, it's wrong.
Assignments may be downgraded if these standards are not met.
It can be very helpful for some
students to work together on daily assignments and to study together; this is
encouraged when it does not result in one student simply copying another's work
with no understanding. Acts of academic
dishonesty will result in a grade of F for the course, and a letter to the Dean
describing the circumstances. If you are
having problems in the course, talk to the instructor; don't involve yourself
in academic dishonesty. With each assignment submitted, students are expected
to write a short note at the end of the assignment indicating from whom help
was received and to whom help was given (but this does not affect the grade for
the assignment). The following is from
the FACULTY HANDBOOK in the section titled Student
Course Load:
"It
is expected that students will spend, in preparation for courses, two hours of
study time outside the classroom for every hour of credit in the
classroom."
This
means that you should be prepared to spend, on average, eight hours per week
outside of class working on a fourcredit course; however, this will vary from
student to student and from course to course.
Your time will be spent reading the text, reviewing class notes, and
completing homework exercises.
If you encounter a problem while
working on assignments, do not spend more than 20 or 30 minutes trying to solve
the problem; if you cannot solve a problem in 20 or 30 minutes, even with the
help of a tutor or lab monitor, work on something else and show the problem to
one of the instructors of the course as soon as possible.