Instructor
Huey Miin Lee, Ph.D.
Lecture
Time 13:00-14:00 TR
Class
Location 259 Hodges
Office
Location 412 Hodges
Office
Hours 13:00
to 14:00 M
14:30-15:30
TR
Email hlee@stat.wvu.edu
Lab
Assistants
Section:
014 T 1600-1650 G33 EIE Joseph
Schtak jshutak@mix.wvu.edu
Section:
015 W 1330-1420 G33 EIE Joseph
Schtak jshutak@mix.wvu.edu
Section:
016 R 1130-1220 G33 EIE Christopher
Grant cgran1@mix.wvu.edu
Section:
017 F 0930-1020 G33 EIE Daniel
Szelc
dszelc@mix.wvu.edu
Section:
018 F 1330-1420 G33 EIE Qilu
Zeng qzeng@mix.wvu.edu
Lab
Grader Joseph Shutak jshutak@mix.wvu.edu
This
course uses a broad brush to introduce the fascinating science of statistics to
students from many diverse fields. Examples and applications from biology,
environmental science, education, political science, public policy, behavioral
sciences, public health and medicine will be used to enhance the relevancy of
the basic methods of descriptive and inferential statistics that form the core
learning in this course: descriptive measures; random variables; sampling
distributions; estimation; tests of hypothesis; chi-square tests; regression;
and, correlation.
This course is
offered in the General Education Curriculum under Objective 2: Basic
Mathematical Skills and Scientific Inquiry and Objective 4: Contemporary
Society. The course material encourages critical thinking and challenges
students to employ the scientific method to examine contemporary issues, ideas,
and conventional wisdom.
Course
Objectives
In this course
students will:
This course
provides the student with the foundations of statistical theory and the
opportunity to practice using several statistical methods to organize, analyze,
and present data, to design experiments appropriate to the information desired,
to test hypotheses, to make judgments about data and to predict future behavior
based on available data. Descriptive statistics, simple and conditional
probability, probability distributions, and topics in inferential statistics
such as hypothesis testing and estimation are emphasized.
Student
Learning Outcomes
Upon successful completion
of this course, all students are expected to demonstrate the ability to:
1. Understand the difference between
descriptive and inferential statistics;
2. Identify the experimental unit and the
variable type and to specify the variable values;
3. Organize data for statistical analysis,
construct, interpret, and understand graphical displays of a set of observed
data;
4. Calculate, interpret, understand, and
identify when to use the sample mean, quartiles, IQR, median, mode, and
standard deviation and identify outliers;
5. Measure and assess the association between two quantitative
variables, and understand what the Pearson correlation coefficient measures;
6. Understand the idea of least squares
estimation, interpret the intercept and slope of a least squares regression
line, understand the connection between correlation and regression analysis;
7. Compute, understand and interpret the
theoretical probability of an event, construct and interpret probability
distributions, know how the laws of probability are used to compute
probabilities of compound and conditional events;
8. Understand, examine the sampling
distribution of a statistic;
9. Calculate the expected value and variance
of a discrete numeric random variable;
10. Identify and understand binomial,
poisson, and normal random variables, compute their probabilities, means and
variances;
11. Compute z scores and understand the
z-score as a measure of relative position;
12. Use Normal approximation to compute
binomial probabilities;
13. Understand and compute the mean and
standard deviation of the sampling distribution of sample means and use the
Central Limit Theorem to answer probability questions involving the sample
mean;
14. Compute and interpret confidence
intervals on population means, population proportions, and mean differences
between two populations using sample data;
15. Construct the null and alternative
hypotheses;
16. Understand and describe the Type I and
Type II errors in the context of a hypothesis test;
17. Relate the steps in hypothesis testing to
the scientific method;
18. Perform large- and small-sample
hypothesis tests on population parameters, use p-values and the classical
methods for making decisions, interpret the results and state the conclusion of
a hypothesis test;
19. Perform chi-square tests of independence
and the chi-square test of homogeneity, through the use of contingency tables;
20. Make inferences concerning the
theoretical slope of a linear regression line and determine the accuracy of
regression predictions.
eBook (Required)
LifeStats:
by Ditlev Monrad, E. James Harner, Barbara A. bailey and Xuming He
Note:
You must purchase your eBook online through the website:
LifeStats
online ordering instructions are
provided at:
http://www.stat.wvu.edu/~hlee/LifeStatsOnlineOrderingInstructions.htm
The Department
of Statistics requires
that students purchase an eBook. Your IDEAL account will be discontinued and you
will not be able to complete the labs and quizzes if you do not purchase the
textbook by the end of the second week of class. This is a departmental policy.
You
can download lecture notes at: http://www.stat.wvu.edu/~hlee/Statistics211LectureNotes_Fall_2009.htm
Here is a
mapping of the correspondence between the "old" textbook sections
(and lecture note sections) vs. the current e-Book sections:
http://www.stat.wvu.edu/~hlee/Textbook
Sections Mapping.htm
Type Points
Exam
1 100
Exam 2 100
Final 150
Lab
Exercises 100
Lab
Quizzes 100
The
course grade will be based on a total of 550 points, using a 90%, 80%, 70%, 60%
criteria for assigning the course grades A, B, C, D respectively. Any total
less than 60% of 550 points will result in the course grade F.
Grade Minimum Points
A
495 (90%)
B
440 (80%)
C
385 (70%)
D
330 (60%)
F
<330 (<60%)
Text
Exercises
Text
exercises are assigned by section on the class schedule, but they are not
graded. However, you should work the exercises since they provide you practice
problems and are often representative of exam questions.
Attendance
and Quizzes/Exams
Class
attendance is required and your total points under the Grading section above
will be modified by the following bonus or penalty score:
0, 1 or 2 15 bonus points
3 10 bonus points
4 5 bonus points
5 0 bonus points
6 5 penalty points
7 10 penalty points
8 15 penalty points
9 or more 20 penalty points
The
student is responsible for all material missed as a result of an absence. During
quizzes and exams: notes are not permitted; calculators are required and cannot
be shared.
You are not allowed to use cell phone during exams, and you must remove
baseball caps. You must not
leave the room during an exam without the instructors permission. The date for each exam is indicated in the class
schedule, but the final determination of material covered on each exam will be
announced in class prior to the exam. For further guidelines please refer to http://www.wvu.edu/~acadaff/acad/policies/attendance.htm.
Lab
Exercises
During
the semester, at least 20 exercises will be assigned and the best 20 will be
used to compute the lab grade. Each exercise will be worth 5 points. Fifteen (15) of the
exercises must be worked (i.e., a reasonable attempt must be made) in order to
receive a passing grade. You will find it helpful to bring a pencil, paper, calculator,
and your notes when completing the exercises. The lab instructors will work
practice examples similar to the assigned exercises in G31/33 Eiesland Hall during your assigned lab period.
You can work the exercises during the free periods at the lab or you can work
them at any computer supporting Java. Graduate Teaching Assistants will teach
the labs sections as outlined above and will also be available during free
lab/office hours. You are expected to attend the lab sessions for the
quizzes/examples and complete the exercises on your own.
Lab
Quizzes
During
the semester, about 12 quizzes will be given and the best 10 will be used to
compute the quiz grade. Each quiz will be worth 10 points. You will find it
helpful to bring a pencil and calculator when completing the quizzes. The
quizzes, exam 1, and exam 2 are timed and are to be done in G31/33 Eiesland Hall during your assigned lab
period.
Make-Up
Exams
Since the due
date for an assignment/exercise is at least a week after the assigned date,
therefore no make up assignment/exercise will be given.
In the case of
an emergency situation, I must be notified within two days of the exam. Your instructor will determine: 1) whether the excuse is
reasonable, and, if so, 2) the manner in which the missed exam is made up.
Note: 3 or 4 exercises, as well as your 2 lowest quiz grades, will be dropped. These dropped exercises and quizzes are in case something catastrophic happens (i.e. IDEAL does not save your answers, a death in the family, serious illness, etc.). This is also to safeguard me in case we do have a mishap with IDEAL and your exercises do not get submitted. Chances are that will not happen, so you will end up benefiting from this. Since I do drop a number of each, there are absolutely NO make-ups, under any foreseeable circumstances (outside of a case where you have an excuse that you missed 3 weeks because of serious illness, or something like that). ALSO: You are given 5 absences until the penalty points take effect. These freebies are in case you forget your WVU student ID, death in the family, serious illness, etc. In summation, there are NO MAKE-UP EXCERCISES, NO MAKE-UP QUIZZES, and NO ATTENDANCE FOR FORGOTTEN IDs.
Prerequisite
Math
124 or Math 126 or the equivalent (college algebra)
Academic
Integrity
The integrity of
the classes offered by any academic institution solidifies the foundation of
its mission and cannot be sacrificed to expediency, ignorance, or blatant
fraud. Therefore, I will enforce rigorous standards of academic integrity in
all aspects and assignments of this course. For the detailed policy of West
Virginia University regarding the definitions of acts considered to fall under
academic dishonesty and possible ensuing sanctions, please see the Student
Conduct Code at http://www.arc.wvu.edu/admissions/integrity.html Should you have any questions about
possibly improper research citations or references, or any other activity that
may be interpreted as an attempt at academic dishonesty, please see me before
the assignment is due to
discuss the matter.
West
Virginia University is committed to social justice. I concur with that
commitment and expect to maintain a positive learning environment based upon
open communication, mutual respect, and non-discrimination. Our University does
not discriminate on the basis of race, sex, age, disability, veterans status,
religion, sexual orientation, color or national origin. Any suggestions as to
how to further such a positive and open environment in this class will be
appreciated and given serious consideration.
If you are a
person with a disability and anticipate needing any type of accommodation in
order to participate in this class, please advise me and make appropriate
arrangements with the Office of Disability Services (293-6700).