Learning Targets
A sample that is representative of a population has a distribution that closely resembles the distribution of the population in shape, center, and spread.
For example, consider the distribution of plant heights, in cm, for a population of plants shown in this dot plot. The mean for this population is 4.9 cm, and the MAD is 2.6 cm.
A representative sample of this population should have a larger peak on the left and a smaller one on the right, like this one. The mean for this sample is 4.9 cm, and the MAD is 2.3 cm.
Here is the distribution for another sample from the same population. This sample has a mean of 5.7 cm and a MAD of 1.5 cm. These are both very different from the population, and the distribution has a very different shape, so it is not a representative sample.
representative
A sample is representative of a population if its distribution resembles the population's distribution in center, shape, and spread.
For example, this dot plot represents a population.
This dot plot shows a sample that is representative of the population.
Often in this unit, the data sets are small enough that sampling is not necessary…but it will be easier to work with small data sets so that we can compare information from the sample of the same information from the population.
The price per pound of catfish at a fish market was recorded for 100 weeks.
A sample with the same mean as the population is not necessarily representative, since it may miss other important aspects of the population. Example:
A representative sample is the ideal type of sample we’d like to collect…but if we do not know the data for the population, it will be hard to know if a sample we collect is representative or not. If we do know the population data, then a sample is probably unnecessary.
Why might it be important to get a representative sample rather than a more convenient sample?