Slideshare PPT-4

1. PRESENTED BY
DR.T. RAMYA
Asst.Prof
Dept.of.Commerce(CA)
Bon Secours College forWomen
Thanjavur

2. PRINCIPLES OF SAMPLING
1. Principle of statistical Regularity
2. Principles of Large Numbers.

3. Essentials of a Good Sampling
 1.The sample should be true
 2.There should remain no bias
 3. All the items should be independent of each
other.
 4. Quality and time of the sample should be the
same.
 5.The regulating conditions should be the same.
 6. Sampling needs to be adequate.
 7. Estimate the sampling error
 8.The result of the sample study, in general,
should be applicable to all items of the universe.

4. METHODS OF SAMPLING
 I. RANDOM SAMPLING METHODS
 1. Simple Random Sampling
 2. Stratified Random Sampling
 3. Systematic or Quasi-Random sampling
 4. Cluster or Area sampling
 5. Sequential Sampling

5.  II NON-RANDOM SAMPLING
 1. Accidental Sampling
 2. Convenience Sampling
 3. Purposive Sampling
 4. Quota Sampling

6. CRITERIA OF A GOOD SAMPLE
DESIGN
 1. Goal Orientation
 2. Measurability
 3. Practicability
 4. Economy

7. THANK YOU