Code in MATLAB, thank you: Given "column1sh.mat" is originally an 8192x4 double matrix. A random 8192x4 matrix could be generated in its place instead.

Matlab Commands: Peak Magnitude: norm(x,inf)

Mean: mean(y)

Mean Square: mean(y.^2)

Root Mean Square: rms(y) or sqrt(mean(y.^2)

Standard Deviation: std(y)

Skewness: skewness(y) Kurtosis: kurtosis(y)

The first column is channel 1 data from test 6 (undamaged condition), the second column is channel 1 test 7 (incipient damage), the third column is channel 1 test 9 (higher level of damage), and the fourth column is channel 1 test 11 (highest level of damage). The records are 8 seconds long. The rows are the given data points while the columns are the recorded data outputs.

Below is column1sh as a 3x4:

Calculate some basic statistics for each acceleration time history in the file column 1 sh. The basic statistics include peak amplitude magnitude, mean, mean square, root mean squared, and standard deviation, skewness and kurtosis. Plot these quantities as a function of damage level. Are there any observable trends in these statistics with increasing amounts of damage? First three lines of your m-file should be: clear load columnlsh m=data.resp This will create a 8192x4 matrix "m where each column corresponds to test data listed above. 1 2 34 -4.2925e-04 3.8503e-04 -2.2967e-04 -7.0251e-04 -5.3120e-04 -9.4569e-05 -3.0397e-04 -0.0013 -5.6876e-04 -4.1881e-04 -4.7285e-04 -0.0012 | 2 | 3 Calculate some basic statistics for each acceleration time history in the file column 1 sh. The basic statistics include peak amplitude magnitude, mean, mean square, root mean squared, and standard deviation, skewness and kurtosis. Plot these quantities as a function of damage level. Are there any observable trends in these statistics with increasing amounts of damage? First three lines of your m-file should be: clear load columnlsh m=data.resp This will create a 8192x4 matrix "m where each column corresponds to test data listed above. 1 2 34 -4.2925e-04 3.8503e-04 -2.2967e-04 -7.0251e-04 -5.3120e-04 -9.4569e-05 -3.0397e-04 -0.0013 -5.6876e-04 -4.1881e-04 -4.7285e-04 -0.0012 | 2 | 3