Скачать или смотреть Lecture 1: Introduction to Biostatistics | Chapter 1 - English

Welcome to the first lecture of our series! In this session, Prof. Mohamed Ali introduces the fundamental concepts of Statistics and their specific application in the biological sciences. Whether you are studying medicine, pharmacy, or agriculture, this lecture will provide the essential tools needed to collect, analyze, and interpret data to make intelligent, evidence-based decisions.

What We Cover in This Lecture:

Defining Statistics & Biostatistics: Understanding how we use data to make intelligent decisions and its specific application to biology and medicine.

Basic Terms: A deep dive into the building blocks of data, including:


Population: The entire group we are studying (finite vs. infinite).


Sample: The portion of the population we actually measure.


Variables: The specific characteristics we are studying.

Types of Variables:


Qualitative: Categorical data like gender, blood type, or marital status.


Nominal: Groups with no specific order (e.g., race).


Ordinal: Groups with a specific rank (e.g., NYHA functional class).


Quantitative: Numerical data that can be ranked.


Discrete: Countable values (e.g., number of students).


Continuous: Measured values that can include decimals (e.g., temperature).


Data Organization: How to transform raw data into an array or a structured Frequency Distribution table.