These functions calculate the asymptotic standard errors of
common statistical estimates. `se_meanx`

calculates the
standard error of the mean, `se_sx`

calculates the standard
error of the population standard deviation estimate, and
`se_rxy`

calculate the standard error of the correlation
estimate between two vectors.

## Usage

```
se_meanx(x, na.rm = FALSE)
se_rxy(x, y, na.rm = FALSE)
se_sx(x, na.rm = FALSE)
```

## Arguments

- x
A numeric vector, representing a sample from a population

- na.rm
A boolean, whether or not to remove any `NA`

s (default `FALSE`

)

- y
A numeric vector, representing a sample of a different variable

## Value

A number representing the asymptotic standard error of the
particular estimate

## Examples

```
# calculate the mean and se of the mean of wage in the cps data
paste(
"The average wage is",
mean(cps$wagehr, na.rm = TRUE),
"with a margin of error of",
se_meanx(cps$wagehr, na.rm = TRUE)
)
#> [1] "The average wage is 18.6044915715063 with a margin of error of 0.204128707715679"
```