Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

( MATLAB PROGRAMMING) https://drive.google.com/file/d/0B5SqE-vMokXEUFliYmktSHRHN

ID: 3841783 • Letter: #

Question

(MATLAB PROGRAMMING)

https://drive.google.com/file/d/0B5SqE-vMokXEUFliYmktSHRHNWM/view

(Follow This Link and Download the Excel File)

Using the 'matlabtext.xls' file, import the data using the uiimport wizard.

a. Using comments show which rows/columns were not included in the import. What data replacement was used?

b. Calculate the final score using the formula: (max 10 assignments - i.e. drop the lowest) midterms Finalexam Discussion. Add a column to show the final score.

c. Calculate the final grade based on 90-100 = A, 80- < 90 B, 70 - < 80 C, 60 - < 70 D, and < 60 F. Add a column to show the final grade.

d. Using fprintf, show a table of the final score and grade.

e. Sort the table by the final score, and show the result.

f. Show the min, max and average final score.

Explanation / Answer

% content records

information = dataset('file', 'tobramycin.txt')

% content documents with . set up of missing qualities

information = dataset('file', 'tobramycin.txt', 'TreatAsEmpty', '.')

% For Excel records

information = dataset('xlsfile', 'tobramycin.xls')

You can likewise develop the dataset cluster from factors in the MATLAB Workspace.

% Create a 10x2 exhibit

x = rand(10,2);

% Construct a dataset exhibit containing x

information = dataset({x(:, 1), 'Column1'}, {x(:,2), 'Column2'})

On the off chance that you import the information as isolated factors containing duplicates, you can build the dataset cluster by linking the factors.

% Create 2 10x1 vectors

x = rand(10,1);

y = rand(10,1);

% Construct a dataset exhibit containing x and y

information = dataset({x, 'Column1'}, {y, 'Column2'})