MATH 351 Biostatistics

5 credits

This course provides an introduction to statistical analysis of bio-medical data. Topics include descriptive statistics, probability, inferential statistics, reliability, confidence intervals, power analysis, hypothesis testing, correlation, regression, ANOVA, and nonparametric methods.

Prerequisites: MATH& 146 and admission to the BASPH program

Course Outcomes
Upon successful completion of this course students will be able to:

Characterize central tendency and variability of data using descriptive statistics
Characterize data distribution
Analyze types of error in collecting and interpreting statistical data
Calculate sensitivity, specificity, predictive values and confidence intervals
Calculate the statistical power and sample size
Perform one- and two-sample inference using appropriate parametric and nonparametric statistical methods
Apply statistical regression models to biological data sets, and describe the validity of those models
Describe, graph and compute correlation coefficients
Perform multi-sample inference using ANOVA
Analyze real biomedical data sets and write a scientific paper describing the analysis

Program Outcomes
This course teaches to the following program outcomes:

Apply statistical and other quantitative analysis tools and techniques to issues in public health
Evaluate and analyze data as it relates to health outcomes and prevention, management, and treatment strategies

Total Hours: 50 Theory (Lecture) Hours: 50