1.
2. Write a MATLAB program that calculates the arithmetic mean, the geometric mean, and the
root-mean-square average for a given set of values. Your program must use 3 functions to
calculate the 3 required means. The output should be formatted as follows:
Your name Statistical Package arithmetic mean = x.xxxxx geometric mean = x.xxxxx RMS
average = x.xxxxx
Test your program on the following values: 1.1, 3.3, 3.00, 2.22, 2.00, 2.72, 4.00, 4.62 and 5.37.
Your main program calls 3 functions.
The data should be read by the main program from a text file, stored in an array and then passed
to the functions.
The results and any other output should be printed by the main program. Notice how the output
results are aligned. Also notice that the results are printed accurate to 5 decimal places.
DO NOT USE MATLAB BUILT-IN FUNCTIONS.
I am stumped on this problem as I am not to good with creating functions in matlab
Solution
I am going to give you 4 files, three functions and one script. Create 4 new scripts in matlab and
save them as given. Then run the "Mean.m" script.
Mean.m
fid = fopen('input.txt');
Array = fscanf(fid, '%g');
Amean = AM(Array);
Gmean = GM(Array);
Rmean = RMS(Array);
display('Amlan Das Statistical Package')
display(['arithmetic mean = ', sprintf('%.5f',Amean)]);

2.
disp(['geometric mean = ', sprintf('%.5f',Gmean)]);
disp(['RMS average = ', sprintf('%.5f',Rmean)]);
AM.m
function [ AMean ] = AM( Array )
n = length(Array);
AMean = 0;
for i = 1:n
AMean = AMean + Array(i);
end
AMean = AMean/n;
end
GM.m
function [ GMean ] = GM(Array)
n = length(Array);
GMean = 1;
for i = 1:n
GMean = GMean*Array(i);
end
GMean = GMean^(1/n);
end
RMS.m
function [ RMean ] = RMS( Array)
n = length(Array);
RMean = 0;
for i = 1:n
RMean = RMean + Array(i)^2;
end
RMean = (RMean/n)^(0.5);
end