Catalog 2021-2022 
    
    Mar 29, 2024  
Catalog 2021-2022 [ARCHIVED CATALOG]

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

Global Outcomes
This course teaches to the global outcome of critical thinking.

Total Hours: 50 Theory (Lecture) Hours: 50