(c) B. Burt Gerstman (email)

*Part A (Introductory)*

(1) Measurement and sampling [Exercises]

(2) Frequency distributions [Exercises]

(3) Summary statistics [Exercises]

(4) Probability [Exercises]
[binomial pmf app] [normal pdf app]

(5) Introduction to estimation [Exercises] [Simplified
z/t table]

(6)
Introduction to hypothesis testing [Exercises]

(7) Single sample and paired *t*
procedures (comparing means) [Exercises]

(8)
Independent t procedures (comparing means) [Exercises]

(9) Inference about a proportion [Exercises]

(9.5)
Comparing two proportion (*.ppt)
[Exercises]

(10)
Cross-tabulated counts [Exercises]

*Part B (Intermediate)*

(11) Variances and means [Exercises]

(13) ANOVA topics (post hoc comparisons, Levene's
test, Non-parametric tests) [Exercises]

(15) Regression [Exercises]

(16) Risk ratios and prevalence ratios [Exercises]

(17) Case-control odds ratios [Exercises]

(18)
Study Design Notes and Links: StudyDesign.ppt;
EKS Chapt 12; Scientific method
and Emile Durkheim's study of suicide; The median isn't the
message; Cargo Cult
Science [study-exercises.htm]

(19) Notes on data management [Exercises]

Additional
notes

Power and sample size [Exercises]

How To Know What to Use [Exercises]

Approaches Toward Data
Analysis

**Probability
Tables:**** ***Simplified
z/t |** *Negative z| Positive z | Two-tails of Z
| chi-square table |

"The political principle that anything can be proved by statistics arises from the practice of presenting only a selected sub-set of the data available." -- R. A. Fisher (1955)

". . . the higher statistics are only common sense reduced to numerical appreciation." -- Karl Pearson (Berkson, 1942, p. 325)