Question
In order to calculate if there are outliers in a given data set, we would use the following formula:
Q1 - 1.5 x BLANK
Q3 + 1.5 x BLANK
What measure belongs in the blanks?
Q1 - 1.5 x BLANK
Q3 + 1.5 x BLANK
What measure belongs in the blanks?
Answers
GPT-4o mini
In the formula you provided for identifying outliers in a data set, the measure that belongs in the blanks is the **interquartile range (IQR)**.
The interquartile range (IQR) is calculated as:
\[
IQR = Q3 - Q1
\]
Thus, the complete formulas for identifying outliers are:
- Lower bound: \( Q1 - 1.5 \times IQR \)
- Upper bound: \( Q3 + 1.5 \times IQR \)
Any data points outside of these bounds can be considered outliers.
The interquartile range (IQR) is calculated as:
\[
IQR = Q3 - Q1
\]
Thus, the complete formulas for identifying outliers are:
- Lower bound: \( Q1 - 1.5 \times IQR \)
- Upper bound: \( Q3 + 1.5 \times IQR \)
Any data points outside of these bounds can be considered outliers.