| WEEK |
TOPIC | READINGS |
ASSIGNMENT |
DUE
DATE |
| 1: 1/23 through 1/27 |
definitions, scales of
measurement, correlational vs. experimental methods, IVs and DVs,
nominal, ordinal, interval, ratio scale variables |
CH 1: all CH 2: all entire syllabus |
bulletin board assignment #1 |
BB #1 due 1/26 4pm |
| 2: 1/30 through 2/3 |
graphing different types of
variables, issues in graphical representation of data |
CH 3: 42-50 |
homework #1, bulletin board assignment #2 |
HW #1 due 1/30 4pm, BB #2 due
2/3 4pm |
| 3: 2/6 through 2/10 |
measures of central tendency
(mean, median, mode) and
variability (standard deviation, variance, range) |
CH 4: all CH
5: 72-82 |
homework #2, bulletin board
assignment #3 |
HW #2 due 2/6, 4pm BB #3
due 2/10, 4pm |
| 4: 2/13 through 2/17 |
standard scores (z scores), what
they are and why they're so useful, how to calculate, standard normal
distribution, percentiles, comparing scores of different metric
logically |
CH 6: page 99 to top of page
112, then 114-115 |
homework #3, bulletin board assignment #4 |
HW #3 due 2/13 4pm, BB #4
due 2/17 4pm |
| 5: 2/20 through 2/24 |
logic of hypothesis testing,
nature of statistical "significance", tests for one sample
mean, use of statcrunch to analyze data from text, type I and type II
errors, nature of sampling distributions, alpha, beta, two types of
alternative hypotheses, formal statement of null and alternative
hypotheses |
CH 8: all CH
12: pages 265 to middle of page 281 |
homework #4, Quiz #1 |
HW #4 due 2/21 4pm
Quiz #1 take between 8am and 8pm 2/24 |
| 6: 2/26 through 3/3 |
hypothesis testing with two
sample means: dependent measures and independent measures t
tests, heterogeneity and homogeneity of variance, how to interpret t
test results for two sample means |
CH 13:pages 294 to middle page
302 CH 14: pages 308 to 320 |
midterm exam #1 |
take midterm exam #1 between 8am
3/1 and 8pm 3/2 |
| 7: 3/6 through 3/10 |
analysis of experimental designs
with two OR MORE groups, the use of ANOVA, construction and
interpretation
of source table, examples from behavioral science research, use of
statcrunch for simple ANOVA data analysis, post-test mean comparison
techniques |
CH 16: 355 through the bottom of
page 380 |
homework #5, bulletin board assignment # 5 |
BB #5 due 3/6 4pm HW
#5 due 3/9, 4pm |
| 8: 3/13 through 3/17 |
continue with simple ANOVA
designs and post-test mean comparison
techniques, If time allows, begin issues in factorial ANOVA designs:
main effects and
interaction effects, Minitab or our own hand-held calculators will
handle factorial design analyses;
statcrunch will not NOTE: WEEK #9 IS SPRING BREAK: CLASSES RESUME ON 3/27 OF WEEK #10 |
continue with issues in chapter
16 |
bulletin board
assignment #6, homework #6 |
BB #6 due 3/15 4pm, HW #6
due 3/17 4pm |
| 10: 3/27 through 3/31 |
either continue with or begin
factorial ANOVA
designs, examples from published research, analyses by hand given some
source table (variance estimate) information, main effects and
interaction, how to construct a factorial source table, analyze and
interpret results, graphing cell means , how to identify main effects
and interactions from graphed data |
CH 17: pages 399 to middle of page
411 |
homework #7, bulletin board assignment #7,
Quiz #2 |
HW #7 due 3/27 4pm, BB #7 due 3/29 4pm, take
Quiz #2 3/31 between 8am and 8pm |
| 11: 4/3 through 4/7 |
continue with issues in CH 17,
factorial ANOVA designs |
continue with CH 17 readings |
Midterm exam #2: This exam
only covers material since the first exam through simple ANOVA (CH
16). CH 17 issues (factorial ANOVA) will not be covered on exam 2 |
Take exam 2 between 8am 4/5 and
8pm 4/6 |
| 12: 4/10 through 4/14 |
finish issues in factorial
ANOVA, begin issues in correlation. If need be, postpone
beginning of correlation until week 13 |
continue with CH 17 readings,
time permitting, CH 9: pages 163 through middle of page 187 |
bulletin board assignment
#8 homework #8 |
BB #8 due 4/12 4pm, HW #8
due 4/14 4pm |
| 13: 4/17 through 4/21 |
correlation and covariance, information r and r-square gives you, two functions of correlation, plotting data | CH 10 : pages 203-221 |
bulletin board assignment #9 |
BB #9 due 4/21 4pm |
| 14: 4/24 through 4/28 |
continue with issues in
correlation and regression |
continue with CH 10 readings |
homework #9 | HW #9 due 4/26 4pm |
| 15: 5/1 through 5/5 |
continue with issues in correlation and regression, fitting regression line to the data, single variable regression, information given by the Y-intercept, slope, interpretation of regression equations | continue with readings in chapters 9 and 10 | bulletin board assignment #10 |
BB #10 due 5/1 4pm |
| 16: 5/8 through 5/12 |
the standard deviation of Y and the standard error of estimate, why knowledge of X helps reduce average error, simple chi-square, general discussion of non-parametric statistics | CH 19: pages 440 through 446 |
homework #10, bulletin board
assignment #11, quiz #3 |
HW #10 5/8 4pm, BB#11
5/10, 4pm take Quiz #3 5/11 between 8am & 8pm |
| 17: 5/15 through 5/16 |
FINAL EXAM |
FINAL EXAM |
Take between 8am 5/15
& 8pm 5/16 |
|
ASSIGNMENT |
TOTAL
POINTS POSSIBLE |
| 3 Quizzes at 25 points each |
75 |
| 2 midterm exams at 90 points
each |
180 |
| 1 final exam at 100 points |
100 |
| 10 homework assignments: 4 @ 10 points each; 6 @
at 20
points each |
160 |
| 10 discussion/bulletin board
participation assignments at 5 points each |
50 |
| COURSE GRADE |
%
OF TOTAL POINTS |
| A |
>92 |
| A- |
90 - 92 |
| B+ |
87 - 89 |
| B |
83 - 86 |
| B- |
80 - 82 |
| C+ |
77 - 79 |
| C |
71 - 76 |
| C- |
68 - 70 |
| D |
57 - 67 |
| F |
< 57 |