diff --git a/education/statistics/Sampling.md b/education/statistics/Sampling.md
index 6360798..0f2bc21 100644
--- a/education/statistics/Sampling.md
+++ b/education/statistics/Sampling.md
@@ -15,12 +15,15 @@ In the above example:
 - The *parameter* was *6%*
 - The *sample* was *1004 taxpayers*
 - The *statistic* was *13%*
+
+An ideal sample will represent the whole population.
 ## Sampling
 | 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 |
 | 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 |
+| Convenience | Sampling done near to the researcher because it's easier. |
 ## Simple Random Samples
 
 ## Bias