Read the problem and instructions carefully to answer both questions $8$ and $9.$

A student taking a human nutrition class obtains the following grades in a scale

from $0$ to $10$ : tests $(6\mathrm{.}5),$ quizzes $(5\mathrm{.}0),$ final exam $(7\mathrm{.}3),$ papers $(4\mathrm{.}5),$ motivation

$(9\mathrm{.}3),$ and homework $(8\mathrm{.}2).$

Of the final grade, these activities are worth: tests $(20\%),$ quizzes $(5\%),$ final

exam $(30\%),$ papers $(10\%),$ motivation $(20\%),$ and homework $(15\%),$

respectively.

Pick the code below that will create a dataframe that correctly captures this

information.

Choose ALL that apply.

grades

weights

student$\_$data data.frame$($grades$,$ weights$)$

grades

weights c$(0\mathrm{.}3,0\mathrm{.}1,0\mathrm{.}2,0\mathrm{.}15,0\mathrm{.}2,0\mathrm{.}05)$

student$\_$data data.frame$($weights$,$ grades$)$

grades

weights

student$\_$data data.frame$($grades$,$ weights$)$

grades

weights c$(0\mathrm{.}2,0\mathrm{.}05,0\mathrm{.}3,0\mathrm{.}1,0\mathrm{.}2,0\mathrm{.}15)$

student$\_$data data.frame$($ weights, grades$)$

Using the dataframe created in Question $8,$ what code will produce the

student's final grade? Check all that apply.

grades

weights c$(0\mathrm{.}2,0\mathrm{.}05,0\mathrm{.}3,0\mathrm{.}1,0\mathrm{.}2,0\mathrm{.}15)$

student$\_$data data.frame$($grades$,$ weights$)$

weighted.mean$($student$\_$data$grades, student$\_$data$weights$)$

grades

weights c$(0\mathrm{.}2,0\mathrm{.}05,0\mathrm{.}3,0\mathrm{.}1,0\mathrm{.}2,0\mathrm{.}15)$

student$\_$data data.frame$($weights$,$ grades$)$

weighted.mean$($student$\_$data$[[1]],$ student$\_$data$[[2]])$

grades

weights c$(0\mathrm{.}2,0\mathrm{.}05,0\mathrm{.}3,0\mathrm{.}1,0\mathrm{.}2,0\mathrm{.}15)$

student$\_$data data.frame$($weights$,$ grades$)$

weighted.mean$($student$\_$data$[[2]],$ student$\_$data$[[1]])$

grades

weights c$(0\mathrm{.}2,0\mathrm{.}05,0\mathrm{.}3,0\mathrm{.}1,0\mathrm{.}2,0\mathrm{.}15)$

student$\_$data data.frame$($grades$,$ weights$)$

weighted.mean$($student$\_$data$[[1]],$ student$\_$data$[[2]])$