Exercise

# Probability mass and density functions (2)

For continuous variables, the values of a variable are associated with a probability density. To get a probability, you will need to consider an interval under the curve of the probability density function. Probabilities here are thus considered surface areas.

In this exercise, we will simulate some random normally distributed data using the `rnorm()`

function. This data is contained within the `data`

vector. You will then need to visualize the data.

Instructions

**100 XP**

- Check the documentation of the the
`dnorm`

function using`help(dnorm)`

- Now calculate the density of the
`data`

vector and store it in a vector called`density`

- Finally make a plot with as x variable the
`data`

vector and as y variable the`density`

variable