Steps for Ho $[1]$ Thestandarddeviationforthechosencolumnis$2\mathrm{.}773.$

AGE MinPerGame PointsPerGame ReboundsPerGame

$3\mathrm{.}730$

$1\mathrm{.}675$

main.R

df # Load the dataset in NBA$2019.$csv as df

NBA$2019\_$num # Create a new data frame by subsetting the data frame to include the columnssd$\_$chosen # Find the sample standard deviation for all players on the list in the column ReboundsPerGame

print$($paste$0("$The standard deviation for the chosen column is $",$ format$($round$($sd$\_$chosen, $3)),"."))$

sd$\_$all # Find the sample standard deviation for all players on the list for all columns

format$($round $($sd$\_$all, $3))$

Run your program as often as you'd like, before submitting for grading. Below, type any needed

input values in the first box, then click Run program and observe the program's output in the

second box.

Enter program input $($optional$)$

$\frac{?}{?}$# Find the sample standard deviation for all players $on$ the list for all columns

format$(round(s{d}_{a}ll,3))$

$q$ Input $(from$ above$)longrightarrowlongrightarro{w}_{\{\begin{array}{ccc}\text{:}& \text{m}\text{a}\text{i}\text{n}\text{.}& R\end{array}}$ Output $(shown$ below$)$

Program errors displayed here

Error in is$.$data.frame$($x$)$ :

'list' object cannot be coerced to type 'double'

Execution halted

Program output displayed here

$[1]$ "The standard deviation for the chosen column is $2\mathrm{.}763."$