This course will provide an introduction to the most important
concepts and techniques in descriptive and inferential statistics.
Topics in descriptive statistics will include: using graphs and tables
to present data, measuring central tendency and variability,
calculating z-scores, and measuring the degree of association between
variables (e.g, through correlation and regression techniques).
Inferential statistical topics will include: the normal curve,
probability, the logic of hypothesis testing, confidence intervals,
types of decision errors, power, effect size, comparing the means of
samples (e.g., single-sample t-test for dependent means, t-test for
independent means, and ANOVA), and nonparametric tests (e.g.,
chi-square and rank-order tests). The course will emphasize conceptual
understanding rather than manual calculation.