Summary  
This chapter explains the difference between a population (the entire set of observations) and a sample (a subset of observations used to infer properties of the population).  

General domain of usage  
Data analysis

Understanding statistics will expand your horizons and allow you to recognize statistical patterns and work with data. The first fundamental definitions: **sample** and **population**.

**Population** is a set of identical items in our study of interest.

Definition

**Sample** is a subset of the population which is intended to capture the characteristics of the population (however, it might not always accurately reflect characteristics of the population due to its **quality**).

Learn core statistical concepts used in data analysis with Python. The course covers descriptive statistics, including mean, median, mode, variance, and standard deviation, as well as sampling, probability distributions, the Central Limit Theorem, and outlier detection.

Sample vs Population

Sample vs Population: Example