Veterinary Biostatistics Course Overview

Study Notes

This presentation covers veterinary biostatistics.
The course is taught by Dr. Haneen Suwayfi Abdul Mohsin.
The course takes place in the Department of Animal and Poultry Health, Faculty of Veterinary Medicine at Assiut University.
It was presented on 1-10-2024.

Biostatistics involves designing experiments, collecting data, classifying data, analyzing data, interpreting data, evaluating program impact, creating population-based interventions, and controlling epidemics.

Coding data involves assigning numerical values to non-numerical measurements.
For example, assigning '1' for males and '2' for females.
Coding data facilitates automatic data processing and conserves storage space.
Key stages in coding include developing a preliminary coding scheme, testing and improving it, verifying inter-coder reliability, coding, and reviewing data by the code.

Data organization/presentation is a process of arranging raw data into different categories.
Its purpose is to describe situations, draw conclusions, and make inferences about events.
Various methods include stem-and-leaf diagrams, frequency distribution tables, histograms, bar charts, and other graphs.

Tabulation presents numerical data in rows and columns.
This method enhances presentation and analysis.
Tables effectively display large volumes of data in an organized, attractive, and easy-to-read format.
Tabular data offers advantages such as ease in understanding data trends (increasing or decreasing) and quick access to data values.
Tables can be simple (single measurements) or complex (multiple measurements).
Components of a data table typically include a title, units of measurement, an independent variable in the left column, and a dependent variable in the right column.
Frequency distributions categorize data.

Categorical frequency distributions, used for nominal and ordinal data, organize data categorized by features like blood groups or coat colors.

Ungrouped frequency distributions list frequencies for individual data values, useful for small amounts of data.
Grouped frequency distributions categorize data into intervals, handling large datasets more efficiently.

Range: The difference between the maximum and minimum values in a dataset.
Mean: The average of a dataset.
Median: The middle value in a dataset.
Example problems demonstrating the applications of the calculation methods are provided
For grouped data, steps on creating class groups are clarified.