First, let's calculate the interquartile range (IQR) of the original dataset:
Original dataset: {0,7,8,8,10,11,14,15,17,17.5,18,18,18,20,30}
Step 1: Find the median
Since there are 15 data points, the median is the average of the 8th and 9th values.
Median = (15 + 17) / 2 = 16
Step 2: Find Q1 (the median of the lower half of the data)
There are 7 data points below the median, so Q1 is the average of the 4th and 5th values.
Q1 = (8 + 8) / 2 = 8
Step 3: Find Q3 (the median of the upper half of the data)
There are 7 data points above the median, so Q3 is the average of the 12th and 13th values.
Q3 = (18 + 18) / 2 = 18
Step 4: Calculate IQR
IQR = Q3 - Q1 = 18-8 = 10
Now let's calculate the interquartile range of the dataset after adding “15”:
New dataset: {0,7,8,8,10,11,14,15,15,17,17.5,18,18,18,20,30}
Step 1: Find the median
Since there are 16 data points, the median is the average of the 8th and 9th values.
Median = (15 + 17) / 2 = 16
Step 2: Find Q1 (the median of the lower half of the data)
There are 8 data points below the median, so Q1 is the average of the 4th and 5th values.
Q1 = (8 + 10) / 2 = 9
Step 3: Find Q3 (the median of the upper half of the data)
There are 8 data points above the median, so Q3 is the average of the 12th and 13th values.
Q3 = (18 + 18) / 2 = 18
Step 4: Calculate IQR
IQR = Q3 - Q1 = 18-9 = 9
Therefore, the interquartile range of the original dataset is 10, and the interquartile range of the dataset after adding “15” is 9.