Biostatistics
Undergraduate course, Autonomous University of Mexico City (UACM) Cuautepec, College of Sciences and Humanities, 2024
This course focuses on analytical tools for biological and health sciences.
Objectives
To master statistical methods for data collection, organization, and interpretation to support evidence-based decision-making in biology and public health.
Key Topics
- Descriptive Statistics: Variable types, frequency tables, measures of central tendency (mean, median), and dispersion (variance, standard deviation).
- Probability Theory: Binomial, Poisson, and Normal distributions applied to health data.
- Sampling: Random sampling techniques, confidence intervals, and sample size determination.
- Inferential Statistics: Hypothesis testing ($H_0$ vs. $H_a$), Type I and II errors, and Z/t-tests for mean comparisons.
Methodology
The course combines theoretical seminars with practical workshops, emphasizing data analysis through computational tools for clinical and biological datasets.