STATISTICS in the Behavioral Sciences
Psych 210 - Fall 2004 – 102 Hyland -
12:00-12:50
Galen Baril 203 AMH 941-4270 Office Hours: M-W 1:00, T-Th 2:30
TEXT: Baril, G. L. (2004). Basic statistics in the behavioral
sciences. Psychology Department,
Univ. of Scranton.
COURSE GOALS:
To provide a basic understanding of & ability to use both
descriptive & inferential statistical concepts & procedures.
COMPUTER USE:
To facilitate both an understanding of statistical principles and
"real world" applications of statistics, SPSS for the PC will be
used.
QUIZZES:
There will be a quiz every week (except
as announced) based mainly on the Practice Problems at the end of the assigned
chapter(s) & the use & interpretation of SPSS. Quizzes will be composed of computational
& short answer items, can be cumulative (as announced), & count 21% of
course grade. There will be 3 composite
quiz grades, each based on the total of 4-5 quizzes. Unless special arrangements are made, a missed quiz is assigned
the lowest score on that quiz received in the class (or 30% of the highest
score, whichever in lower).
MID-TERM
EXAMS: There will be three mid-term exams counting
a total of 39% of the course grade. The
format will be the same as the quizzes.
FINAL EXAM:
There will be a final exam covering all of the material. It will count 40% of the grade and have the
same format as the quizzes & exams.
GRADING:
Each of the quiz and exam grades will be determined by the highest score
in the class (or 90% of the maximum possible score, whichever is higher) which
receives a grade point score of 4.66.
30% of the highest (or 90%) score identifies the 0 point. Every other score between these two values
is calculated by interpolation. The
University's grade point system is: A
(4.00)(4.00-4.66 here), A- (3.67-3.99), B+ (3.33-3.66), B (3.00-3.32), B-
(2.67-2.99), C+ (2.33-2.66), C (2.00-2.32), C- (1.67-1.99), D+ (1.33-1.66), D
(1.00-1.32), F (0-.99).
CUT POLICY:
Unless excused, each time part of a class is missed, the overall
grade will be reduced by .1.
HONESTY:"Integrity in intellectual activity is an
indispensable prerequisite for membership in any academic community."
ONLINE COURSE EVALUATIONS: This is one of a handful of
classes that will be testing a new online course evaluation system for the
University. Since it is critical to identify any problems with this new
process, every student in this class is expected to complete these
end-of-semester course evaluations. Further information will be provided
in class and via e-mails from the University.
WEEK TOPIC ASSIGNMENT
Aug 30 Introduction, Frequency
Distributions & SPSS Ch 1 & Ch
2
Sept 6(-M) Central
Tendency & Variability Ch 3 & Ch
4
13 Relationships Ch 5
20 Prediction Ch 6
27
EXAM; Probability Ch 7
Oct 4 Probability
Distributions Ch 8
11 The Normal Distribution Ch 9
18(-M) z-scores; Null Hypothesis Testing Ch
10
25 Null Hypothesis Testing
continued
Nov 1 EXAM; t-Test for 1 Sample & 2 Sets of Scores p. 61-65
8 Two-Sample
t-Test with Equal & Unequal Variances p.
65-68, 74
15 Confidence Intervals Ch
12
22(-W,F) Effect Size & Power Ch 13
29 Chi Square; EXAM Ch
15
Dec 6 Analysis
of Variance (ANOVA) Ch
14
14(-W,F) Review