Exercise

# Calculating statistic of interest

Using the `NHANES`

dataset, let's investigate the relationship between gender and home ownership. Remember, more information about the dataset can be found here: NHANES.

As seen in the video, natural variability can be modeled from shuffling observations around to remove any relationships that might exist in the population. However, before you permute the data, you need to calculate the original observed statistic. In this exercise, you will calculate the difference in proportion of home owners who are men versus women.

Recall that:

`%in%`

returns a logical vector that is`TRUE`

when values on the left hand side are listed on the right hand side.- The mean of a logical vector is the proportion of cases where that vector is
`TRUE`

.

```
fruits <- c("apple", "banana", "cherry")
fruits %in% c("banana", "cherry")
mean(fruits %in% c("banana", "cherry"))
```

Instructions 1/2

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The `dplyr`

, `ggplot2`

, `infer`

, and `NHANES`

packages have been loaded for you.

- From
`NHANES`

, select the`Gender`

and`HomeOwn`

ership columns, then filter the rows to keep individuals whose home ownership status is`"Own"`

or`"Rent"`

. Save the result to`homes`

.