Exercise

# Randomized statistics and dotplot

By permuting the home ownership variable multiple times, you generate differences in proportions that are consistent with the assumption that the variables are unrelated. The statistic of interest is the difference in proportions given by `stat = "diff in props"`

. After calculating the randomized statistics, you will plot them in a dotplot.

This exercise shows all four steps from the `infer`

package:

`specify`

will specify the response and explanatory variables.`hypothesize`

will declare the null hypothesis.`generate`

will generate resamples, permutations, or simulations.`calculate`

will calculate summary statistics.

Each step will be covered throughout the course; in this exercise you'll write code for `calculate()`

.

The `dplyr`

, `ggplot2`

, `NHANES`

, and `infer`

packages have been loaded for you. Repeat the permuting and plotting with 100 differences in proportions generated by shuffling the `HomeOwn`

variable.

Instructions 1/2

**undefined XP**

- Using the
`infer`

framework, step through specifying the null model and then performing 100 permutations to evaluate whether home ownership status (i.e.`HomeOwn`

) differs between the`"female"`

and`"male"`

groups:`specify()`

,`hypothesize()`

, and`generate()`

have been done for you.`calculate()`

the`stat`

istic`"diff in props"`

with the order of`c("male", "female")`

.