PPT - Sampling Theory (Part - 1) CA Foundation Notes | EduRev

Quantitative Aptitude for CA CPT

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CA Foundation : PPT - Sampling Theory (Part - 1) CA Foundation Notes | EduRev

 Page 1


Sampling Theory 
CPT Section D Quantitative Aptitude 
Chapter 15 
Prof. Bharat Koshti 
Page 2


Sampling Theory 
CPT Section D Quantitative Aptitude 
Chapter 15 
Prof. Bharat Koshti 
Learning Objectives : 
The different procedures of sampling which will be best 
representative of the  population. 
The Concept of Sampling Distribution 
The techniques of construction of Class Interval & its 
interpretation. 
How to determine the sample size with pre defined degree of 
precision?. 
Page 3


Sampling Theory 
CPT Section D Quantitative Aptitude 
Chapter 15 
Prof. Bharat Koshti 
Learning Objectives : 
The different procedures of sampling which will be best 
representative of the  population. 
The Concept of Sampling Distribution 
The techniques of construction of Class Interval & its 
interpretation. 
How to determine the sample size with pre defined degree of 
precision?. 
Why Sampling?  
 
We come across situations whose where we would like to know 
about vast population. 
But the factors like time, money, cost and large size of the 
population make it almost impossible to go for the complete 
enumeration of all the population. 
Page 4


Sampling Theory 
CPT Section D Quantitative Aptitude 
Chapter 15 
Prof. Bharat Koshti 
Learning Objectives : 
The different procedures of sampling which will be best 
representative of the  population. 
The Concept of Sampling Distribution 
The techniques of construction of Class Interval & its 
interpretation. 
How to determine the sample size with pre defined degree of 
precision?. 
Why Sampling?  
 
We come across situations whose where we would like to know 
about vast population. 
But the factors like time, money, cost and large size of the 
population make it almost impossible to go for the complete 
enumeration of all the population. 
Sampling Theory 
Instead we can select a representative or part of the population 
(known as sample) & infer about the entire population on the 
basis of our knowledge about the sample.  
This is the basis of Sampling Theory. 
Page 5


Sampling Theory 
CPT Section D Quantitative Aptitude 
Chapter 15 
Prof. Bharat Koshti 
Learning Objectives : 
The different procedures of sampling which will be best 
representative of the  population. 
The Concept of Sampling Distribution 
The techniques of construction of Class Interval & its 
interpretation. 
How to determine the sample size with pre defined degree of 
precision?. 
Why Sampling?  
 
We come across situations whose where we would like to know 
about vast population. 
But the factors like time, money, cost and large size of the 
population make it almost impossible to go for the complete 
enumeration of all the population. 
Sampling Theory 
Instead we can select a representative or part of the population 
(known as sample) & infer about the entire population on the 
basis of our knowledge about the sample.  
This is the basis of Sampling Theory. 
What is sampling ? 
It  is a process of learning about a population on the basis of 
samples drawn from it. 
Some important terms in sampling theory: 
• (A) Population 
• (B) Sample 
• (C) Parameter 
• (D) Statistic 
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