Question

In statistics the interquartile range (IQR) starts with sorting all the values in your sample from smallest to largest. It identifies markers in the data set that indicate specific points in the data set. The first is the 25th percentile at which point, 1/4 of data values are smaller than this point. The 75th percentile is such that 3/4 of the data values are smaller than this point. The IQR is the 75th percentile minus ( - ) the 25th percentile.

In MATLAB, the iqr function ( a = iqr(x, dim) ) provides a single number that represents the 75th percentile minus the 25 percentile. We also use the prctile function to generate the values for both the 75 percentile point and the 25 percentile point -- a = prctile(x, [25, 75], dim) . This function gives us the two end points of the IQR range.
Which of the below MATLAB scripts, generates two numbers that represent the 25th and 75th percentile or our array testarray ?

Answer 1

In MATLAB, the script 'percentiles = prctile(testarray, [25, 75])' will return the 25th and 75th percentiles of the array 'testarray', representing the range of the middle 50 percent of the data.

Step-by-step explanation:

In MATLAB, to generate two numbers that represent the 25th and 75th percentiles of an array testarray, you would use the prctile function. The following MATLAB script will give you the required output:

percentiles = prctile(testarray, [25, 75])

This script will return a vector percentiles where the first element is the 25th percentile of testarray and the second element is the 75th percentile. Subtracting the first element from the second provides you with the interquartile range (IQR), which is a measure of the middle 50 percent of the data.

The correct MATLAB script to generate the 25th and 75th percentiles of an array called testarray is:

a = prctile(testarray, [25, 75])

This script uses the prctile function to calculate the percentiles. The first argument is the array you want to calculate the percentiles for, and the second argument is an array of the desired percentiles (in this case, 25 and 75).