Exercise

# Sampling from the population

In this lab we have access to the entire population, but this is rarely the case in real life. Gathering information on an entire population is often extremely costly or impossible. Because of this, we often take a sample of the population and use that to understand the properties of the population.

If we were interested in estimating the mean living area in Ames based on a sample, we can use the `sample()`

function to sample from the population: `sample(area, 50)`

.

This command collects a simple **random sample** of size 50 from the vector `area`

. This is like going into the City Assessor's database and pulling up the files on 50 random home sales. If we didn't have access to the population data, working with these 50 files would be considerably simpler than having to go through all 2930 home sales.

Instructions

**100 XP**

- Take a sample of 50 of the
`area`

and assign it to`samp0`

. - Take another sample of 50 and assign it to
`samp1`

. - Compare these two samples by drawing histograms. You can switch between graphs by clicking the arrows right above the graph.
- Think about how their distribution compares to the complete population.