In this tutorial, I will explain how to find the interquartile range (IQR) in SPSS. I will also show you how to find the the first (Q1) and third (Q3) quartiles. What is the IQR? The IQR is a metric used to represent the midspread of the data. It is calculated by subtracting...
Quartiles segment any distribution that’s ordered from low to high into four equal parts. The interquartile range (IQR) contains the second and third quartiles, or the middle half of your data set.Whereas the range gives you the spread of the whole data set, the interquartile range gives...
Python program to find the IQR in NumPy # Import numpyimportnumpyasnp# Creating a numpy arrayarr=np.array([7,4,6,6,4,7,4,3,6,7])# Display original arrayprint("Original array:\n",arr,"\n")# Calculating percentilep75, p25=np.percentile(arr, [75,25])# Finding iqrres=p75-p25#...
Example: Using the interquartile range to find outliers We’ll walk you through the popular IQR method for identifying outliers using a step-by-step example. Your dataset has 11 values. You have a couple of extreme values in your dataset, so you’ll use the IQR method to check whether th...
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How to Find Outliers Using theInterquartile Range(IQR) An outlier is defined as being any point of data that lies over 1.5 IQRs below the first quartile (Q1) or above the third quartile (Q3)in a data set. High = (Q3) + 1.5 IQR Low = (Q1) – 1.5 IQR ...
After finding the IQR, you have to determine the upper and lower limits. The upper and lower limits would contain most of the data within the data set. Enter the following formula to calculate the upper limit: =G5+(1.5*G6) Step 5: Calculate the lower limit. Enter the following formula...
2. Next, we need to calculate Q3. To calculate Q3 in Excel, simply find an empty cell and enter the formula ‘=QUARTILE(array, 3)‘. Again, replacing the ‘array‘ part with the cells that contain the data of interest. 3. Finally, to calculate the IQR, simply subtract the Q1 value...
Step 5:Find the Interquartile Range IQR value. To find the Deduct Q1 value from Q3. IQR = Q3-Q1 Step 6:Find the Inner Extreme value. An end that falls outside the lower side which can also be called as a minor outlier. Multiply the IQR value by 1.5 and deduct this value from Q1...
In this article, you will not only have a better understanding of how to find outliers, but how and when to deal with them in data processing.