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 2010
Non-Traditional Format
This course will be taught 95% or more online.
Grading System
A - F (Traditional)
Student Learning Outcomes
Student will be able to produce graphical summaries of data.
Student will be able to identify the principles of statistical inference, including parameter estimation and uncertainty assessment.
Student will be able to describe the importance of randomization in public health surveys and biomedical experiments.
Student will be able to communicate the results of biostatistical analyses, draw substantive conclusions from the results of hypotheses test.
Student will be able to distinguish between prospective and retrospective studies, 6. use statistical software.
Student will be able to use statistical software.
Student will be able to apply Bayes Theorem to diagnostic tests, public health survey design, and analysis of contingency tables.
