Exercise

# Exercise 1 - Heights Revisited

We have been using *urn models* to motivate the use of probability models. However, most data science applications are not related to data obtained from urns. More common are data that come from individuals. Probability plays a role because the data come from a random sample. The random sample is taken from a population and the urn serves as an analogy for the population.

Let's revisit the heights dataset. For now, consider `x`

to be the heights of all males in the data set. Mathematically speaking, `x`

is our population. Using the urn analogy, we have an urn with the values of `x`

in it.

What are the population average and standard deviation of our population?

Instructions

**100 XP**

- Execute the lines of code that create a vector
`x`

that contains heights for all males in the population. - Calculate the average of
`x`

. - Calculate the standard deviation of
`x`

.