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?

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.