Page 1 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 auditRead More

66 docs|68 tests

### PPT - Sampling Theory (Part - 3)

- Doc | 12 pages
### MCQ - Sampling Theory (Part - 1)

- Doc | 12 pages
### MCQ - Sampling Theory (Part - 2)

- Doc | 12 pages
### MCQ - Sampling Theory (Part - 3)

- Doc | 13 pages
### Test: Sampling Theory - 1

- Test | 40 ques | 40 min
### Test: Sampling Theory - 2

- Test | 40 ques | 40 min

- PPT - Sampling Theory (Part - 1)
- Doc | 25 pages