Range Formula:
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The range is the difference between the maximum and minimum values in a dataset. It's a simple measure of statistical dispersion that shows how spread out the values are.
The range is calculated using the simple formula:
Where:
Explanation: The range gives the span between the highest and lowest values, providing a quick sense of the data's variability.
Details: Range is fundamental in statistics for understanding data spread. While simple, it helps identify outliers and the scale of variation in measurements.
Tips: Enter the maximum and minimum values from your dataset. The calculator will compute the range (difference between them).
Q1: What are the limitations of range?
A: Range is sensitive to outliers and doesn't show how data is distributed between the extremes.
Q2: When should I use range?
A: Range is useful for quick assessments of variability, especially with small datasets without outliers.
Q3: What's the difference between range and interquartile range?
A: Interquartile range (IQR) measures middle 50% of data, making it less sensitive to outliers than full range.
Q4: Can range be negative?
A: No, range is always non-negative as it's the difference between max and min values.
Q5: How does range relate to standard deviation?
A: Both measure spread, but standard deviation considers all data points' distances from the mean.