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education/statistics/Sampling.md
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@ -15,12 +15,15 @@ In the above example:
- The *parameter* was *6%* - The *parameter* was *6%*
- The *sample* was *1004 taxpayers* - The *sample* was *1004 taxpayers*
- The *statistic* was *13%* - The *statistic* was *13%*
An ideal sample will represent the whole population.
## Sampling ## Sampling
| Sample Type | Description | | Sample Type | Description |
| ---- | ---- | | ---- | ---- |
| Simple random | Advantages:<br>- Procedure is impartial<br>- Law of Averages<br>Disadvantages<br>- Not always possible<br>- Can be very expensive | | Simple random | Advantages:<br>- Procedure is impartial<br>- Law of Averages<br>Disadvantages<br>- Not always possible<br>- Can be very expensive |
| Quota Sampling | Attempts to get certain proportions based on key characteristics. Quota sampling doesn't guarantee that the selection is an accurate representation. | | Quota Sampling | Attempts to get certain proportions based on key characteristics. Quota sampling doesn't guarantee that the selection is an accurate representation. |
| Cluster Sampling | Divide population into subgroups, randomly select a subgroup, and sample all of the subjects in that group | | Cluster Sampling | Divide population into subgroups, randomly select a subgroup, and sample all of the subjects in that group |
| Convenience | Sampling done near to the researcher because it's easier. |
## Simple Random Samples ## Simple Random Samples
## Bias ## Bias