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# PPT - Sampling Theory (Part - 2) CA Foundation Notes | EduRev

## CA Foundation : PPT - Sampling Theory (Part - 2) CA Foundation Notes | EduRev

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CPT Section D Quantitative Aptitude Chapter 15
Prof. Bharat Koshti

Page 2

CPT Section D Quantitative Aptitude Chapter 15
Prof. Bharat Koshti

Different Methods of Sampling
• 1. Probability Sampling Methods
• 2. Non-Probabilistic Sampling Methods
• 3. Mixed Sampling Methods
Page 3

CPT Section D Quantitative Aptitude Chapter 15
Prof. Bharat Koshti

Different Methods of Sampling
• 1. Probability Sampling Methods
• 2. Non-Probabilistic Sampling Methods
• 3. Mixed Sampling Methods
(1) Probability Sampling Methods
In this method there is a fixed/ pre-assigned Probability
for each member to be selected in the sample from the
population.
(a) Simple Random Sampling(SRS): In this method
there is an equal chance/probability for every member
being selected in the sample.
Page 4

CPT Section D Quantitative Aptitude Chapter 15
Prof. Bharat Koshti

Different Methods of Sampling
• 1. Probability Sampling Methods
• 2. Non-Probabilistic Sampling Methods
• 3. Mixed Sampling Methods
(1) Probability Sampling Methods
In this method there is a fixed/ pre-assigned Probability
for each member to be selected in the sample from the
population.
(a) Simple Random Sampling(SRS): In this method
there is an equal chance/probability for every member
being selected in the sample.
There are two methods in Simple Random Sampling-
One Simple Random Sampling With replacement (SRSWR)&
another is Simple Random Sampling without
replacement(SRSWOR).
Simple Random sampling is useful when-
(i) The population size is not very large.
(ii) The population under study is not heterogeneous.
Page 5

CPT Section D Quantitative Aptitude Chapter 15
Prof. Bharat Koshti

Different Methods of Sampling
• 1. Probability Sampling Methods
• 2. Non-Probabilistic Sampling Methods
• 3. Mixed Sampling Methods
(1) Probability Sampling Methods
In this method there is a fixed/ pre-assigned Probability
for each member to be selected in the sample from the
population.
(a) Simple Random Sampling(SRS): In this method
there is an equal chance/probability for every member
being selected in the sample.
There are two methods in Simple Random Sampling-
One Simple Random Sampling With replacement (SRSWR)&
another is Simple Random Sampling without
replacement(SRSWOR).
Simple Random sampling is useful when-
(i) The population size is not very large.
(ii) The population under study is not heterogeneous.
5.5
Person
Das

0.87487
Tripathi 0.89068
Joshi 0.11597
Agarwal 0.58635
Shah  0.34346
Purohit 0.24662
Singhal

0.47609
Bhandari 0.08350
Kulkarni 0.53542
Arora  0.37239
Gupta

0.73809
Generate
Random #
Person
1     Bhandari 0.08350
2 Joshi 0.11597
3      Purohit  0.24662
4 Shah  0.34346
5
Arora
0.37239
Singhal

0.47609
Kulkarni 0.53542
Agarwal
0.58635
Gupta 0.73809
Das 0.87487
Tripathi 0.89068
Sorted
Random #
A government income tax auditor wants to
choose a sample of 5 out of 11 IT returns to
audit

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