SOLUTION
We want to use interquartile range to identify the outliers in the data set.
Outliers are simply data or numbers whose values are far from the data set.
Let us arrange the data in ascending order
This is
Now, the meddian is the middle number which is 75
The first quartile is middle number between 66 and 74. This is 73
The third quartile is the number between 76 and 84, which is 77.
The interquartile range is 3rd quartile - 1st quartile
So the outliers; that is number far from the data set are 66 and 84
As you can see that 66 is so small compared to the list of data 73, 74 etc
And 84 is so large compared to the data set 75, 76, 77
Hence, the answer is 66 and 84 are outliers
The first option is the correct answer.