Exercise

# Turning info into knowledge - Numerical data

Some define Statistics as the field that focuses on turning information into knowledge. The first step in that process is to summarize and describe the raw information - the data.

The BRFSS questionnaire is a massive trove of information. A good first step in any analysis is to distill all of that information into a few summary statistics and graphics. Let's start with a numerical summary.

You can use functions `mean`

, `var`

and `median`

to calculate the (surprise, surprise) *mean*, *variance* and *median* of certain variables of your data frame.

The function `summary()`

returns a numerical summary: *minimum*, *first quartile*, *median*, *mean*, *third quartile*, and *maximum*.

Instructions

**100 XP**

- Calculate the
`mean`

,`var`

and`median`

of the*weight*variable of your data frame. (Just print it, no need to assign objects.) - Use the
`summary()`

function to see some numerical facts about the*weight*variable of your data frame. (Again just print it.)