Short Answer 
This answer explains the definitions and relationships between the concepts of Universe, Population, and Sample in statistics. The Universe is the entire group of interest, the Population is made up of specific units sharing common characteristics, and a Sample is a smaller, representative subset used for analysis. Examples, such as mobile phone brands, illustrate how these terms apply in real-world contexts.
Step 1: Understand the Concepts of Universe, Population, and Sample
Begin by defining the key terms in statistics: Universe, Population, and Sample. The Universe refers to the entire group of items or individuals that you could potentially study, such as all mobile phones or all European countries. The Population is composed of specific units from the Universe that share common characteristics, while a Sample is a smaller subset of the Population selected for the actual analysis.
Step 2: Identify Examples in Context
Utilize relevant examples to better understand how these terms apply in real-world scenarios. For instance, if you consider mobile phones as a Universe, then the Population could consist of brands like Samsung, iPhone, and Motorola. A Sample from this may include a few random selections such as Samsung, Tecno, and iPhone, which represent the characteristics of the Population.
Step 3: Recognize the Relationship Among These Concepts
Acknowledge how the Universe, Population, and Sample relate to each other. The Universe encompasses all potential data points, and the Population reflects the actual values from that Universe. When you extract a Sample, you are taking a representative subset, typically through random selection, which allows you to infer conclusions about the larger Population without needing to assess every individual item.