POLITICAL SCIENCE 201A (26784) | ||
M 4-6:40 pm | SH 343 | |
R. Hofstetter NH-119 | MW 6-7 594-6804 | |
www-rohan.sdsu.edu/~rhofstet |
The objectives of this course are to:
1) Introduce students to basic concepts, theories, and methods of the way in which political scientists
compute and use statistics in making decisions about political issues;
2) Train students to use statistical ideas in solving problems;
3) Introduce students to the use of quantitative methods in political and other social science.
Students should bring an inexpensive calculator to each class.
The add, subtract, multiply, divide, and
square root functions are the only ones necessary.
Please do not purchase an expensive, scientific calculator just for this class.
Scientific calculators and hand computers are usually more trouble than they
are worth in this for our purposes.
Students are responsible for all material in the
assigned portions of the text whether I discuss it
explicitly or not. Once class has begun, please enter
as unobtrusively as possible or wait until a
break to enter the room. If you must leave the class
before it is over, please tell me before the class
begins unless you suddenly become ill.
Students should complete reading and homework in
a manner that maintains pace with the topics
being discussed and the lectures. Students are required
to attend all class meetings and to take examinations
and quizzes in class. (Please note that the purchase
of airplane tickets, vacations, athletic events, etc., are
not excuses for missing classes.) Quizzes or
midterms will be given at each class meeting and are closed
book. Students may use up to three pages of
handwritten (not typed or photocopied) notes, the syllabus
xeroxed statistical tables, and a calculator for
exams and quizzes.
No final examination or extra credit
assignments will be given. I will discard the
lowest quiz grade and the lowest midterm grade. No makeup
examinations or quizzes will be given except in
extraordinary situations and then at the discretion of the
instructor. After two absences I will begin to deduct one grade
point for each additional absence except in extraordinary
situations.
One to three hours credit for POLS 499 working on
research under my supervision may also be
available, depending on the semester. Interested students
should contact me early in the semester.
SDSU students should also open e-mail accounts. The
Social Science Research Laboratory and
other such units on campus offer no-charge training in
the use of e-mail. I have included my e-mail address
on this syllabus to enable students to communicate with
me outside my scheduled office hours for students'
convenience. The syllabus is also on my website on the
URL above. I anticipate that students will make
use of this opportunity in case they wish to communicate
with me, since I do not check my telephone voice mail at SDSU.
Academic dishonesty will not be tolerated. All written
work must be your original work (i.e., not previously
submitted for credit in any other course, either at SDSU
or at any other academic institution). Any questions about this
should be addressed to me in advance.
Please familiarize yourself with the University Policy
regarding Cheating and Plagiarism at:
http://www-rohan.sdsu.edu/dept/ senate/policy/pfacademics.html
And also be aware of the Student Grievances
procedure, available on-line at:
http://www.sa.sdsu.edu/srr/statement/sectionVII.html
Computation of Grades. The process of computing final grades in this class
is based on how individual performance compares to class averages (means)
on quizzes, midterms, attendance, and
other assignments. Each person's score is determined by subtracting the class
mean from the score and dividing the result by a measure of how much
dispersion there is around the mean for
the class (the standard deviation). This is called a Z score in statistics.
It adjusts all grades according to the difficulty of tests so that a person
scoring high on an easy test (a test for which
the class mean is very high) but who scores below the mean will receive a negative
Z score while a person who scores low but above the mean on a more
difficult test will receive a positive Z
score. After eliminating the lowest quiz and lowest midterm scores for each student,
the mean of Z scores are computed for each type of assignment
(i.e., quizzes, midterms, other assignments,
and attendance). A final score is computed by weighting each score by the percentage
above, and then summing the weighted scores. Letter grades are
assigned based on naturally occurring cut
points among final scores.
In the past, persons who consistently Z scores 1 standard
deviation above the class mean
have received A's in the course, and persons who consistently
scores near the class mean have received C's. I alone assign
final grades, and students are responsible for checking the number of
points assigned to each test or exercise and returning
graded work for which a score has been incorrectly entered into
blackboard. These kinds of corrections must be made within
two weeks of the return of any returned work.
NOTE: After two absences unexcused in advance,
I will deduct one grade point for each
additional absence. No person who fails to complete all assignments
will receive a passing grade in this course.
The course is divided into a series of topics, described below. Approximately one
week of lectures and discussions will be allocated
to each topic. Minor changes to the schedule may occur in response to needs
of students as the semester progresses.
Texts and Materials:
Required:
Minium, Edward W., Clarke, Robert C., & Coladarci, Theodore.
(1999). Elements of
Statistical Reasoning. New York: John Wiley & Sons, Inc. 2nd ed.
An inexpensive portable calculator (simple arithmetic functions, including
square root key).
Optional:
Xeroxed materials, instructor notes.
REQUIREMENTS:
GRADING:
Examinations 30%
Quizzes 30%
Homework 20%
Attendance 20%
OUTLINE
Week 1 January 22 Introduction: Minium et al, Chapter 1,
Chapoter 1, pp. 1-13. Practice homework: 1,2,3,4. Graded problems
3, 4, p. 13 due January 29.
Week 2 January 29 Minium et al, Chapter 2, pp. 17-34. Frequency
Distributions. Practice homework: 1,3-12. Graded problems: 13, 14, pp.33,
34 due February 5. Minium et al, Chapter 3, pp. 35-50. Graphic
Representation. Practice homework: 1,3-5,7-9,11,12.
Graded problem: 12, p. 49 due February 5.
Week 3 February 5 Minium et al, Chapter 4,
pp. 51-61. Central Tendency. Practice homework: 2-12,14.
Graded problems: 8, p. 60 due February 12.
Minium et al, Chapter 5, pp. 63-77. Variability.
Practice homework: 2,3,5-11.
Graded problems: 5, 15 pp. 76, 77 due February 12.
LAST DAY TO DROP/ADD CLASSES is February 7.
Week 4 February 12 Minium et al, Chapter 6, pp. 79-101.
Normal distributions and Standard Scores. Practice
homework: 1-3,5-16. Graded problems: 6, 9, 10, 11 pp. 100, 101
due February 19.
Week 5 February 19 Minium et al, Chapter 7, pp. 103-129.
Correlation. Minium et al, Chapter 7, pp. 103-129. Correlation.
Practice homework: 1-15. Graded problems: 3, 4, 7 p. 128 due
February 26.
First Midterm Examination (weeks 1-4).
Week 6 February 26 Minium et al, Chapter 8, pp.
131-156. Regression and Prediction. Practice problems 1-9,11-15.
Graded problems: 3, 6, p. 153 due March 5.
Week 7 March 5 Minium et al, Chapter 9, pp.
159-175. Probability and Probability Distributions. Practice
homework: 1-19.
Graded problems: 4, 5, 7, 15 pp. 173, 174 due March 12.
Week 8 March 12 Minium et al, Chapter 10, pp. 177-197.
Sampling Distributions. Practice
homework: 1-19. Graded problems: 7, 10, 11, 15 pp. 195, 196
due March 19.
Week 9 March 19 Minium et al, Chapter 11, pp. 199-219.
Testing Statistical Hypotheses about Mu when Sigma is Known.
Practice homework: 1-12,14,15.
Graded problems: 4, 15 pp. 218, 219 due April 2.
Minium et al, Chapter 12, pp. 221-232. Estimation. Graded
problems: 2, 10 pp. 231, 232 due April 2.
Second Midterm Examination (weeks 6-8).
Week 10 March 26 Spring Break
Week 11 April 2 Minium et al., Chapter 13, pp. 231-250.
Testing Statistical Hypotheses about Mu When Sigma is Not Known: The
One Sample t-Test. Practice homework: 1-12,14-16,19.
Graded problems: 5, 6, 22 pp. 247-249 due April 9.
Week 11 April 9 Minium et al, Chapter 14, pp. 251-274.
Comparing Means of Two Samples. Practice homework: 1,3,4,5,7-15.
Graded problems: 2, 5, 8, 10, 16 pp. 271-273 due April 23.
Week 11 April 16 Minium et al, Chapter 14, pp. 251-274, continued.
Week 12 April 23 Minium et al, Chapter 20, pp. 383-405.
Chi Square and Frequency Data. Graded problems: 6, 7, 13, 15
pp. 403-405 due April 30.
Week 14 April 30 Minium et al, Chapter 15, pp. 275-291.
Comparing the Means of Dependent Samples. Graded problems: 5, 9, 12
pp. 288-290 due May 7.
Minium et al, Chapter 16, pp. 293-307. Inferences about the Pearson
Correlation Coefficient. Practice homework: 1-10,14,15,17.
Graded problems: 2, 6, 7 p. 305 due May 7.
Week 15 Dec. 5 Discussion
Third Midterm Examination (weeks 11-13).