In addition to the commonly used Arithmetic Mean (AM), other types of averages like Geometric Mean (GM) and Harmonic Mean (HM) are particularly useful in specific statistical and business contexts. Understanding these means helps in analyzing growth rates, ratios, and rates of change more accurately.

Geometric Mean (GM)
Definition
Geometric Mean is the nth root of the product of n values. It is best used when dealing with multiplicative processes, such as growth rates, financial returns, and population studies.
Formula
For positive values :
Or in logarithmic form:
Example
Let the values be: 4, 16, and 64
Harmonic Mean (HM)
Definition
Harmonic Mean is the reciprocal of the arithmetic mean of the reciprocals of the values. It is especially useful for averaging rates like speed, price per unit, or cost per item.
Formula
For values :
Example
Let the values be: 4, 5, and 6
Relationship Between AM, GM, and HM
For any two positive numbers and :
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Arithmetic Mean (AM) =
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Geometric Mean (GM) =
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Harmonic Mean (HM) =
Inequality Relationship:
Equality holds only when all values are equal.
Example (Illustrating the Relation)
Let ,
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AM =
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GM =
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HM =
So,
When to Use AM, GM, and HM
Measure | Best Used For | Limitation |
---|---|---|
Arithmetic Mean | General average; additive data | Affected by extreme values |
Geometric Mean | Multiplicative processes (growth rates) | Cannot be used for negative values |
Harmonic Mean | Rates, ratios, speed per unit | Sensitive to very small values |
Key Points
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GM and HM are suitable only for positive values.
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GM is used for compounded growth, e.g., interest rates.
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HM is used for time-speed-distance and cost-volume problems.
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Always remember the inequality:
Conclusion
The Geometric Mean and Harmonic Mean offer valuable insights into specific statistical scenarios where the Arithmetic Mean may be misleading. For UGC NET Commerce, mastering the use cases, formulas, and the relationship among AM, GM, and HM is crucial. Understanding when and why to use each mean can improve data interpretation and analytical accuracy in business contexts.