STAT 290: Statistics
Fall
2005 Office Hours:
Thurs
1:15 -3:15
Mon/Weds/Fri 9:30-11:30
Sunday 4:00 -5:00
Objectives:
By the end of this course, a successful student will:
Learn
the vocabulary and basic rules of statistics and data-based reasoning.
Acquire
a knowledge of the laws of probability, from a Calculus-based perspective.
Understand
tendencies present in common random events.
Be
able to interpret simple real world data and charts of one or two samples.
Be
familiar with issues of data collection, analysis, and drawing conclusions from
data.
Achieve
a basic level of statistical proficiency on MS Excel and SPSS.
Prerequisites: Calculus II (can be taken concurrently). Students who are deficient in this prerequisite may be given permission to enroll, but will have to do some extra catch-up work.
Textbooks and Materials:
Required:
Devore, Probability and Statistics, 6th Edition (2003)
Other Materials:
You will want a
calculator that can compute nCr ($11.96 at Wal-Mart).
All other materials will
be provided, as needed
Evaluation:
Course grades are determined by combining all of the points for the semester,
which come from homework assignments, projects, midterms, and a comprehensive
final exam.
A mediocre student should expect a C, although I hope that
none of you are mediocre students. I plan to use a straight percentage system,
90% needed for an A and 60% needed to pass.
Grades will be based on the following 1000-point system:
|
Type of Grade |
Number |
Points |
Total |
|
Homework Assignments |
10 of 14 |
30 |
360 |
|
Out-of-Class Project |
1 |
90 |
90 |
|
Exams |
3 |
100 |
300 |
|
Final Exam |
1 |
150 |
150 |
|
Newspapers/Participation |
|
100 |
100 |
Your ten highest homework grades will be added together; the
other four homework assignments will only count for half of their value.
If that sounds confusing (it is), think of it this way: Instead of dropping
your lowest grades, you drop half of your lowest four grades.
Honor: It
is also assumed that everyone will behave in a trustworthy and honest manner
throughout this course. I give a great benefit of the doubt as long as
possible, but this class has no room for those who won't play fair. If you have
a question about the "house rules," ask me. Any cheating, plagiarism,
or other trust-breaking will result in failing the course. Period.
Homework:
will be assigned weekly. Homework is due by 10:00 AM on the day we choose (probably
Wednesday). Homework turned in late will receive a penalty of 10% if it is
turned in by the next class, 20% if it is up to a week late, and 10% more each
week after that; It will also be graded more harshly, giving less benefit of the
doubt. Once assigned, homework will be posted on this Web Page:
http://www2.truman.edu/~salberts/290hw.htm
Students are invited to meet with each other, especially those
with different backgrounds, to talk about their homework problems and other
topics in the class. However, I would like you to write up your own solutions,
without copying directly from another person's paper. Always explicitly
list your homework partners on your homework.
Projects: This
class has an individual project, tentatively due December 1. For this project, you
will read several scientific papers, about which you will probably know very
little. Despite this, you will write a brief summary of one of the papers, explaining
the statistics and what the researchers are trying to accomplish with the
paper.
Exams: Exams
are more in-depth than homework, but most of the questions will be similar to
homework problems. Several will be more challenging. This course will have
three midterm exams. In addition, the course will
have a comprehensive final given at the assigned time.
I hate giving make-up exams. If you are going to be away, take the
exam early. You will be penalized between 10% and 40% for taking an exam after
it is given to the class, even if you have a good reason. At the same time, if
you're really sick, stay home.
Newspapers/Participation: It is assumed that everyone will come to class all of the time,
read ahead, think about things, and either speak in class or in the
BlackBoard
Forum.
One easy way to get participation points is by reading the newspaper, attending Mathematics Colloquia or other events I'll mention in class. For each, you'll do a one-page write-up explaining the article/event, mention what it had to do (if anything) with statistics, and give your own thoughts about it.
Tentative schedule: (subject to change)
|
Week |
Date |
Topics |
Text |
|
1 |
August 29, 31 and Sept. 2 |
Descriptive Statistics |
Ch.1 |
|
2* |
September 7 and 9 |
Probability |
2 |
|
3 |
September 12, 14, and 16 |
More Probability |
2 |
|
4 |
September 19, 21, and 23 |
Discrete RVs |
3 |
|
5 |
September 26, 28, and 30 |
Discrete Random Variables |
3 |
|
6 |
October 3, 5, and 7 |
Continuous Random Variables |
4 |
|
7 |
October 10 and 12 |
More Random Variables |
4 |
|
8 |
October 17, 19, and 21 |
Joint Random Variables |
5 |
|
9 |
October 24, 26, and 28 |
More RVs and Point Estimates |
5-6.1 |
|
10 |
Oct. 31 and Nov. 0, 2, and 4 |
Confidence Intervals |
7 |
|
11 |
November 7, 9, and 11 |
Hypothesis Tests |
8 |
|
12 |
November 14, 16, and 18 |
Two-sample Inferences |
9 |
|
13* |
November 21 |
ANOVA/Regression |
10, 12 |
|
14 |
Nov. 28 and 30 and Dec. 2 |
Chi-Square |
14 |
|
15 |
December 5, 7, and 9 |
Non-Par./Quality Control |
15-16 |
|
|
Friday, December 16 |
Final Exam |
|