MATH 351 Biostatistics

5 credits

This course meets the Quantitative Reasoning  general education distribution requirement.

Prerequisites: MATH& 146  and admission to the BAS in Public Health 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

• Gather, organize, and interpret data using multiple approaches
• Develop and use mathematical models to describe and evaluate physical situations
• Communicate problem-solving strategies and mathematically justify solutions
• Select and utilize appropriate technology to analyze mathematical problems