|
Date
|
Topic
|
| 1/22 |
Introduction |
| 1/29 |
Central Tendency |
| 2/05 |
Variability |
| 2/12 |
No Class |
| 2/19 |
Normal Curve |
| 2/26 |
Z-scores |
| 3/04 |
Review |
| 3/11 |
Mid-Term |
| 3/18 |
Spring Break |
| 3/25 |
Sampling |
| 4/01 |
Hyp. Testing |
| 4/08 |
Hyp. Testing |
| 4/15 |
Correlation |
| 4/22 |
Regression |
| 4/29 |
Chi Square |
| 5/06 |
Final Exam |
|
|
Assignment
|
Value
|
| Labs* |
30% |
| Mid-Term |
35% |
| Final Exam |
35% |
| Total |
100% |
|
* Note: Not all labs will be graded. Only graded labs will count toward
the "Labs" portion of your final grade.
|
|
|
| Instructor: |
Donald F. Dement, Ph.D. |
| Classroom: |
N614 (Change pending) |
| Time: |
Saturday 8:30am - 11:15am |
| Office: |
S-1097 |
| Hours: |
By Appointment |
| Phone: |
713/221-8926 – Adjunct Voicemail |
| E-mail: |
ddement@uh.edu |
| Textbook: |
None required |
| Materials: |
Calculator (A scientific calculator, not a business calculator. You should not spend more than $15.) & Graph Paper |
| Prereq.: |
Math 1301/1310 and three hours of course work in anthropology, criminal justice, government, history, psychology, or sociology. |
| Overview: |
SOS 3312 is an introductory course presenting the computation & use of descriptive & inferential statistical measures by hand & by using statistical software packages employed by researchers in the social sciences. Topics covered include graphing techniques, measures of central tendency & dispersion, standard scores, the normal distribution, hypotheses testing including: t-tests, chi-square, correlation, regression, & SPSS programming. |
| Format: |
Lecture will be based on the assumption that students have completed the assigned reading
before coming to class. Because the presented information is cumulative, class attendance is extremely important. |
| Goals: |
Upon course completion, students should be able to, (1) apply basic statistical concepts to social science questions; (2) compute simple statistics; (3) interpret statistics and evaluate their use; (4) make decisions about statistical results; and (5) understand the relationship between statistics and methodology. |
|
