Difference Between Population And Sample

Difference Between Population And Sample

The main dissimilarities or difference between population and sample can be described as follows:

1. Introduction

Population: Set or collection of similar items or entities with similar features

Sample: It is a portion or subset of items or entities taken from the population

2. Represents

Population: It represents the whole or total set of items

Sample: It represents only a small portion of population

3. Data Collection Method

Population: Census method is used to collect data

Sample: Different sampling methods are used to collect data

  Also Read: 

Difference Between Census And Sampling

4. Measurable Characteristics

Population: Parameter (mean and standard deviation)

Sample: Statistics

5. Symbol Of Mean

Population: "μ" is used to denote population mean

Sample:  "x" is used to denote sample mean

Population Vs Sample (Comparison Chart)

Basis For Difference	Population	Sample
Introduction	Set of similar entities with similar nature	Some entities taken from the population
Represents	Total items of set	Small portion or population
Data Collection Method	Census	Sampling
Measurable characteristics	Parameter	Statistics
Mean Denoted By	μ	x

I hope this post is helpful to understand the difference between population and sample and to make comparison between them.