Create a MATLAB script that will perform the following

1.Load the data from file normtemp.txt using the load() function

First, load all three columns of data into a matrix X

The data is arranged in columns as follows: temperature, sex, age

Then, create a matrix variable temp for just the first column of X, which is the temperature

2.Generate a histogram with 12 bins

Label the x-axis Temperature

Label the y-axis Frequency

The title should be Temperature for Adult Males and Females

3.Now explore MATLABs built-in functions to calculate the following quantities for the temperature data.

mean(vector)

median(vector)

mode(vector)

var(vector)

std(vector)

Write a function called mystat.m that takes a vector of data and prints out all these descriptive statistics functions applied to the vector of data, and the length of the data vector. Run your function on the temp vector.

4.Use the code below to take a sample of the total data set and compare it with the results from (3) above

M=1;

for N = 1:5:length(temp)

sample(M) = temp (N);

M = M + 1;

end

Create a histogram with 12 bins for this data

Here are the results for the temperature array

mean = 98.25

median = 98.30

mode = 98.00

var = 0.54

std = 0.73

min = 96.30

max = 100.80

count = 130

I know its a lot, but I'm very lost.. If possible please add comments so I can see whats going on. Thank you

Here is the file normtemp.txt

96.3 1 70 96.7 1 71 96.9 1 74 97.0 1 80 97.1 1 73 97.1 1 75 97.1 1 82 97.2 1 64 97.3 1 69 97.4 1 70 97.4 1 68 97.4 1 72 97.4 1 78 97.5 1 70 97.5 1 75 97.6 1 74 97.6 1 69 97.6 1 73 97.7 1 77 97.8 1 58 97.8 1 73 97.8 1 65 97.8 1 74 97.9 1 76 97.9 1 72 98.0 1 78 98.0 1 71 98.0 1 74 98.0 1 67 98.0 1 64 98.0 1 78 98.1 1 73 98.1 1 67 98.2 1 66 98.2 1 64 98.2 1 71 98.2 1 72 98.3 1 86 98.3 1 72 98.4 1 68 98.4 1 70 98.4 1 82 98.4 1 84 98.5 1 68 98.5 1 71 98.6 1 77 98.6 1 78 98.6 1 83 98.6 1 66 98.6 1 70 98.6 1 82 98.7 1 73 98.7 1 78 98.8 1 78 98.8 1 81 98.8 1 78 98.9 1 80 99.0 1 75 99.0 1 79 99.0 1 81 99.1 1 71 99.2 1 83 99.3 1 63 99.4 1 70 99.5 1 75 96.4 2 69 96.7 2 62 96.8 2 75 97.2 2 66 97.2 2 68 97.4 2 57 97.6 2 61 97.7 2 84 97.7 2 61 97.8 2 77 97.8 2 62 97.8 2 71 97.9 2 68 97.9 2 69 97.9 2 79 98.0 2 76 98.0 2 87 98.0 2 78 98.0 2 73 98.0 2 89 98.1 2 81 98.2 2 73 98.2 2 64 98.2 2 65 98.2 2 73 98.2 2 69 98.2 2 57 98.3 2 79 98.3 2 78 98.3 2 80 98.4 2 79 98.4 2 81 98.4 2 73 98.4 2 74 98.4 2 84 98.5 2 83 98.6 2 82 98.6 2 85 98.6 2 86 98.6 2 77 98.7 2 72 98.7 2 79 98.7 2 59 98.7 2 64 98.7 2 65 98.7 2 82 98.8 2 64 98.8 2 70 98.8 2 83 98.8 2 89 98.8 2 69 98.8 2 73 98.8 2 84 98.9 2 76 99.0 2 79 99.0 2 81 99.1 2 80 99.1 2 74 99.2 2 77 99.2 2 66 99.3 2 68 99.4 2 77 99.9 2 79 100.0 2 78 100.8 2 77