Create a vector called degree consisting of the words Associate, Undergraduate,

Master.

$($b$)$ Create a vector called cost consisting of the cost values as numbers.

$($c$)$ Create a vector called time consisting of the times as numbers.

$($d$)$ Combine those three vectors to create a data frame called education.

$($e$)$ The average cost for a PhD $($in $1,000$s$)$ is $111\mathrm{.}9$ with an average time of $5\mathrm{.}8$ years.

Create a vector called phd consisting of these values $($degree$,$ cost$,$ time$).$

$($f$)$ Add phd as a row to education. Make sure you work with the data frame you

previously created, and not the original vectors.

$($g$)$ Determine the variable type of each variable in education and describe any issues,

if any, you observe. Include any code used and include your values as a comment.

$($h$)$ Convert each variables to an appropriate type $($numeric$,$ character, factor, or ordered

factor$)$ within the data frame. For each type you chose, explain why you picked that

type. Include your values as a comment. Notice the different rankings of the Degree a

person can obtain. Hint: Here is a list of functions you might use in your conversions:

as$.$numeric$(),$ as$.$character$(),$ factor$(),$ ordered$($