This course is intended to provide an introductory course in
biostatistics to meet the requirements for the B.S. in Health
Promotion. All biostatistical concepts and procedures will be
illustrated using public health and biomedical data.

1. produce graphical summaries of data, 
2. identify the principles of statistical inference, including
parameter estimation and uncertainty assessment, 
3. describe the importance of randomization in public health
surveys and biomedical experiments, 
4. communicate the results of biostatistical analyses, draw
substantive conclusions from the results of hypotheses tests, 
5. distinguish between prospective and retrospective studies, 
6. use statistical software,
7. apply Bayes Theorem to diagnostic tests, public health survey
design, and analysis of contingency tables.

1.	Descriptive statistics
2.	Basic probability concepts
3.	Bayes Theorem and diagnostic procedures
4.	Public health surveys
5.	Principles of statistical inference
6.	Biomedical experiments
7.	One-sample and two-sample t-tests
8.	Chi-square tests for contingency tables
9.	Simple linear regression

Academic dishonesty will not be tolerated.  Cases of suspected
dishonesty will be handled according to the University’s policy
and procedures as detailed at www.uga.edu/ovpi.