University
of Minnesota Duluth
PSY
3020 Statistical Methods
Spring Semester 2002
Instructor: Dr.
Lisa Vogelsang
Time & Place: MTWF
12:00 – 12:50 pm, Boh 104
Office: 322
Bohannon Hall
Phone: (218)
726-8605
E-mail: lvogelsa@d.umn.edu
Office Hours: MonTuWed
9:05 – 9:55, Fri. 11:05 – 11:55 or by appointment
Psy Office: (218) 726-7117
Prerequisite: elementary
algebra, math placement test Credits:
4 credit hours
Required Text: Spatz, C.
(2001). Basic statistics: Tales of distributions (7th Ed.).
Belmont,CA: Wadsworth/Thomson Learning.
Recommended Resource Text: George, D. and Mallery, P.
(2001). SPSS for Windows step by
step: A simple guide and reference 10.0 update. Boston: Allyn & Bacon.
Catalog Course Description: Descriptive statistics; introduction to
correlational analysis and regression; sampling techniques and statistical
inference; applications of simple and factorial design analysis of variance and
other parametric and nonparametric hypothesis-test statistics in the behavioral
sciences.
.
Course Objectives: As an outcome of completing this course, students are expected to be able to:
1.
Calculate
some of the basic descriptive and other statistics utilizing a hand calculator.
2.
Utilize
sampling techniques and statistical inferences.
3.
Analyze
descriptive statistics, correlation and regression, ANOVA and other parametric
and nonparametric hypothesis-test statistics utilizing SPSS.
4.
Match
statistical methods with type of data and desired output.
Individuals who have any disability, either permanent or
temporary, which may affect their ability to perform in this class, are
requested to inform the instructor at the beginning of the semester. Adaptation of methods, materials, or
testing may be made as required to provide for equitable participation.
“[S]uccessful education can only occur in an atmosphere
of mutual respect, free from racism, sexism, and other forms of prejudice and
intolerance, and from their harmful effects.
Educational excellence depends on the creation and maintenance of
environments in which all members of the academic community can thrive, working
up to their full potential.” (“Minnesota’s
Commitment to Educational Excellence” developed by the Presidents Task Force:
Strengthening Excellence through Diversity, June, 1990).
Instructional Methods: Lecture/discussion,
multimedia, class assignments, demonstration/participation, group work/computer/discussion,
computer assignments, texts and other outside reading.
Course Equipment: A small pocket calculator is required for your
use during course examinations and should be brought to class to use as
well. If you purchase a pocket calculator
for the course, I would recommend a model having at least an eight digit
display, square root capacity, battery operation, a positive action keyboard,
and the memory capacity to simultaneously square and sum the squares of numbers
(usually indicated by an M+ key).
Assessment Measures:
There will be six exams covering the
various chapters in the text. Each exam
will include all text readings and in-class material covered during those
chapters. Each exam is worth 100 points
and will be primarily multiple-choice questions (some exams may include some
problems). The Final Exam will be
cumulative. The final exam will be
administered during finals week. The
lowest exam score of the six exams will be dropped. Therefore, if students do well on the first five exams, they may
elect to not take the final and let the zero they would get for that exam be
their lowest score.
EXAM #1 Chapters
1-3
EXAM #2 Chapters
4-6
EXAM #3 Chapters
7-9
EXAM #4 Chapters
10-12
EXAM #5 Chapters
13-15
FINAL EXAM #6 Chapters
1- 15
All students are expected to take exams at the scheduled
time. There will be NO MAKE-UP EXAMS given. Exceptions
are illness with a doctor’s excuse, or a University – approved campus absence. For
example, if you are an athlete, you must inform me when you will be absent
before the absence.
Attendance:
Attendance is expected. Significant
learning occurs through student participation in class lecture-discussion,
multimedia, class activities, and group discussion. Failure to attend class regularly may result in the lowering of
the course grade.
Evaluation:
Exams: (5 out of 6 @ 100 points each) 500 Points
__________________________________________
TOTAL POINTS 500 Points
Grading: Final grade will
be based on the following scale with 500 points max.
A = 90
- 100% C = 70
- 74%
A- = 88
– 89% C- = 68
– 69%
B+ = 85
– 87% D+ = 65
– 67%
B = 80
- 84% D = 58
- 64%
B- = 78
– 79% F = <
57.5%
C+ = 75
– 77%
Incompletes will not be given without extraordinary
circumstances and prior discussion and permission of the instructor.
DATE READINGS/CHAPTERS COURSE TOPIC
2
Jan28-Feb 1 2-3 Data/Central
Tendency/Variability
3
Feb 4-8 3-4 Variability/ EXAM #1/Combination Statistics
4
Feb 11-15 4-5 Comb.
Statistics/Correlation & Regression
5
Feb 18-22 5-6 Corr&Reg/Theoretical
Distributions
6
Feb25-Mar1 7-8 EXAM #2/SPSS/Sampling/ Hypothesis
Testing
7
Mar 4-8 7-8 Sampling/
Hypothesis Testing
8
Mar 11-15 8-9 Hypothesis Testing – one and two sample
Week9
Mar 18-22 Spring Break
DATE READINGS/CHAPTERS COURSE TOPIC
Week10 Mar 25-29 8-9 Hypothesis
Testing/EXAM #3
11
Apr 1-5 10-11 ANOVA –
One Way/Factorial Design
12
Apr 8-12 11-12 ANOVA
–Factorial/Correlated
13
Apr 15-19 12-13 ANOVA
Correlated/EXAM #4/CHI Square
14
Apr 22-26 13-14 CHI
Square/ Nonparametric
15
Ap29-May3 14-15 Nonparametric/Tests
& Interpretations
16
May 6-10 15/ Final Review Choosing Tests & Interpretations/EXAM #5
May
17 (Fri) FINAL EXAM EXAM #6 8:00 – 9:55 am