Overview

This HW problem will help you solidify your data analysis$/$manipulation skills in MATLAB. Data is often given to you in a

certain format and you must work with it as$-$is$.$ Here, you are given student grades organized as described below and

asked to manipulate the grade data accordingly.

Working with data in arrays can be challenging, especially if you haven't done it before. You will likely be much more

successful if you visualize the data and the desired results by writing out the arrays by hand. This kind of

visualization can make a coding task that initially seems intractable seem much more clear and feasible.

Problem Information

The grading scheme for an intro physics course is

HW: $15\%$

Exams: $50\%$

Labs: $20\%$

Final Project $15\%$

This grading scheme and the course grades for every student are defined as variables in the beginning of the provided

script template below. The array $G$ holds the student grades. Each row represents one of the assignment bins $($e$.$g$.,$

Exams$),$ and each column represents a single student's scores in all $4$ bins. The first row represents the HW bin, the

second the Exams bin, the third the Labs bin, and the fourth the Final Project bin. Each bin has a maximum total of $100$

points. The $G$ array looks something like $($without the column and row headers$)$:

Add lines of code that accomplish the following tasks:

Create a column vector for which the first element is the maximum unweighted HW score across all students, the

second element is the maximum unweighted Exams score across all students, etc. Store this vector to a variable

called maxall.

Create a column vector for which the first element is the minimum unweighted HW score across all students, the

second element is the minimum unweighted Exams score across all students, etc. Store this vector to a variable

called minall.

Create a row vector for which the first element is the maximum unweighted score across all assignment bins for

student $1,$ the second element is the maximum unweighted score across all assignment bins for student $2,$ etc.

Store this vector to a variable called maxs.

Create a row vector for which the first element is the minimum unweighted score across all assignment bins for

student $1,$ the second element is the minimum unweighted score across all assignment bins for student $2,$ etc.