Basic concepts of statistics with applications in health and
life sciences. Descriptive statistics, principles of statistical
inference, uncertainty assessment, hypothesis testing, public
health surveys, and biomedical experimental design are
considered. Methods include t-tests, simple linear regression,
and categorical data analysis.
Athena Title
Elementary Biostatistics
Equivalent Courses
Not open to students with credit in STAT 2000, STAT 2000E, STAT 2100H, BIOS 2010E
Semester Course Offered
Offered fall and spring
Grading System
A - F (Traditional)
Student Learning Outcomes
Students will be able to produce graphical summaries of data.
Students will be able to identify the principles of statistical inference, including parameter estimation and uncertainty assessment.
Students will be able to describe the importance of randomization in public health surveys and biomedical experiments.
Students will be able to communicate the results of biostatistical analyses, draw substantive conclusions from the results of hypotheses tests.
Students will be able to distinguish between prospective and retrospective studies.
Students will be able to use statistical software.
Students will be able to apply Bayes Theorem to diagnostic tests, public health survey design, and analysis of contingency tables.
