Sampling

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Sampling

  1. 1. Sampling<br />
  2. 2. Population – totality of all possible values of a particular characteristic for specified group of objects<br />
  3. 3. Sample – part of a population selected according to a rule or planSampling – process of choosing a representative portion of population<br />
  4. 4. Reasons for sampling<br />Practicality – time, money, personnel constraints<br />Destruction of item/s to be studied<br />Samples can be more thoroughly studied than whole populations<br />Fewer errors are encountered in handling data<br />
  5. 5. Types of sampling<br />Probability samples<br />Samples selected by chance<br />All elements have an equal chance of being chosen<br />Non-probability samples<br />Samples selected by judgment<br />
  6. 6. Steps in Sampling<br />
  7. 7. Sampling methods<br />
  8. 8. Sampling methods<br />

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