Range Formula:
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The range is the simplest measure of statistical dispersion, representing the difference between the largest and smallest values in a dataset. It provides a quick estimate of the spread of the data.
The calculator uses the simple range formula:
Where:
Explanation: The range gives the span of the data distribution but is sensitive to outliers.
Details: While simple, the range is useful for quick data assessment, quality control, and understanding the spread of measurements in fields like engineering, science, and economics.
Tips: Enter the maximum and minimum values from your dataset. Both values must be valid numbers, and max must be greater than or equal to min.
Q1: What are the limitations of range?
A: Range only considers two data points and is highly sensitive to outliers. It doesn't show how data is distributed between the extremes.
Q2: When is range most useful?
A: For small datasets or when you need a quick estimate of variability. Also useful when extremes are particularly important (e.g., safety limits).
Q3: What's the difference between range and interquartile range?
A: Interquartile range (IQR) measures the middle 50% of data, making it more resistant to outliers than the full range.
Q4: Can range be negative?
A: No, range is always non-negative as it's the difference between max and min (max ≥ min by definition).
Q5: How does sample size affect range?
A: Range tends to increase with sample size as you're more likely to observe extreme values in larger samples.