East Carolina University
Department of Psychology
PSYC 2101, Psychological Statistics, 4 credit hours, 5 contact hours per week during a regular Semester
Required Text:
Syllabus
I. Introduction
A. Descriptive and inferential statistics
B. Scales of measurement
C. Random sampling
D. Displaying data
E. Percentiles
F. Measures of location and dispersion
G. The normal distribution
H. Probability
II. Confidence Intervals and Tests of Hypotheses about Means
A. Introduction using a normal sampling distribution
B. One sample t-tests
C. Two independent samples
D. Two correlated samples
E. Heterogeneity of variance
F. Power analysis
III. Bivariate Correlation and Regression
A. Scatter plots
B. Pearson product moment correlation coefficient
C. Linear regression analysis
D. Point biserial r
E. Phi coefficient
F. Spearman's rho
G. Brief introduction to multiple regression and canonical correlation
IV. Analyses of Variance
A. One-way designs
B. Factorial designs
C. Repeated measures designs
D. Monotonic versus nonmonotonic interactions
E. Multiple pairwise comparisons
F. Magnitude of effect
V. Chi-square
A. Goodness of fit
B. Analysis of contingency tables
VI. Nonparametric Statistics
A. The Mann-Whitney test
B. Wilcoxon's signed-ranks test
C. Kruskal-Wallis ANOVA on ranks
D. Friedman's rank test on correlated samples
VII. Design Issues
A. Experimentation versus observation
B. Extraneous variable control
C. Internal and external validity
D. Pre-experimental designs
E. True experimental designs
VIII. Computing
A. Basic Windows skills: Email, word processing, web browsing, file management, et cetera
B. Statistical computing with SPSS for Windows
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Dr. Karl L. Wuensch
This page most recently revised on 30. April 2007.