Principles of sampling

Slideshare PPT-4

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

2. Principles O f Sampling Principle of statistical Regularity 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