The lower and upper fences are statistical thresholds used to identify outliers in a data set. They are derived from the interβquartile range (IQR), which measures the spread of the middle 50β―% of observations.
The IQR is calculated as the difference between the third quartile (Qβ) and the first quartile (Qβ). Multiplying the IQR by a constant (commonly 1.5) and adding or subtracting it from Qβ and Qβ yields the fences.
Observations that fall below the lower fence or above the upper fence are typically flagged as potential outliers, allowing analysts to investigate or handle them appropriately.
What are the lower and upper fences in statistics?
How do I calculate the interquartile range (IQR)?
What does it mean if a data point is outside the fences?
How do I use this calculator for my data set?
Can this calculator handle large data sets?
What is the significance of multiplying IQR by 1.5?
Are there any assumptions about the data when using this calculator?
Results are for informational purposes only and do not constitute professional advice.
