Wednesday, February 6, 2019

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-population-sample


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.