Think about the jar of bubble gum, which has different colored bubble gums.
There’s a good chance that the gums you “randomly” choose will contain gums of all different hues.
As a result, you might conclude that the sample that was chosen at random is representative of all the gums in the jar.
These randomly chosen gums are referred to as the sample in statistical terms, and the jar is referred to as the population.
Effect of Size on Sampling:
Example:
The bubble gum jar contained 200 gums with 6 different colors.
If you select only 10 gums there is a chance that few colors may NOT be present.
If you select 50 gums then there is a high chance of all colors being present.
If you select 100 gums then there is a very high chance of all colors being present.
if you select all 200 gums then its sure that all colors will be present. This is the case where the sample is the same as the population. That means you simply selected all!