Outliers are data that are relatively far from other data elements.
The dataset has an outlier and the outlier is 120
The dataset is given as:
- 91 83 84 79 91 93 95 97 97 120 101 105 98
Sort the dataset in ascending order
- 79 83 84 91 91 93 95 97 97 98 101 105 120
<h3>The lower quartile (Q1)</h3>
The Q1 is then calculated as:

So, we have:



This is the average of the 3rd and the 4th element


<h3>The upper quartile (Q3)</h3>
The Q3 is then calculated as:

So, we have:



This is the average of the 10th and the 11th element.


<h3>The interquartile range (IQR)</h3>
The IQR is then calculated as:



Also, we have:


<h3>The outlier range</h3>
The lower and the upper outlier range are calculated as follows:






120 is greater than 117.5.
Hence, the dataset has an outlier and the outlier is 120
Read more about outliers at:
brainly.com/question/9933184