Please review the following topics, go over the
theory and
practice for each topic and try to do some problems.
The Midterm Exam will be on Monday, Nov 10, 2014, 1:00-2:30PM.
- Compute
5-number summaries and measures of centrality and variability using data.
Example 1.
Example 2.
- Plot
data using scatter plot, line plot, dot plot, boxplot,
histogram plot, pie chart, etc.
Examples.
- Odds
ratio (OR): Estimate of the OR and compute the confidence
interval (CI) of the OR. Interpret results.
Example.
- Probability
(events, unions, intersections).
Example 1.
Example 2.
- Counting
(simple permutation and combination examples).
Example 1.
Example 2.
-
Contingency tables and probabilities of composite events (intersections,
unions, conditional probability), e.g., P(Disease | positive Test).
Example 1.
Example 2.
- Probability
distributions (Normal and Binomial), means, variances,
probabilities, critical values.
Example 1.
Other Examples.
- Normal
Distribution – drawing the area of interest, computing
critical and probability values using tables
and applet
calculators.
Examples batch 1.
Examples batch 2.
- Central
Limit Theorem (CLT), expectation and standard error of the
mean.
Examples batch 1.
Examples batch 2.
- Design
of Experiments (e.g., comparison, randomization, replication,
blocking, orthogonality, placebo).
Important DOE characteristics.
The materials in the
SMHS
EBook, problems we discussed in lecture, labs and forums, and
homework problems should be sufficient to prepare for the exam. If
you need additional problems, solutions, examples, supplementary
materials for these topics, the following resources may be useful: