Geometric Mean Calculator
Use this unified calculator to find the geometric mean for both ungrouped (raw) data and grouped (frequency distribution) data. The geometric mean is ideal for averaging rates of change and growth rates.
Quick Start
| Geometric Mean Calculator | |
|---|---|
| Data Type | Ungrouped (Raw Data) Grouped (Frequency Distribution) |
| Enter the X Values (Separated by comma,) | |
| Type of Frequency Distribution | DiscreteContinuous |
| Enter the Classes for X (Separated by comma,) | |
| Enter the frequencies (f) (Separated by comma,) | |
| Results | |
| Number of Observations (n): | |
| Geometric Mean: (GM) | |
Understanding Geometric Mean
Geometric Mean is used for:
- Growth rates - annual percentage growth, compound growth
- Ratios - speed, rates of return, indices
- Positive values only - GM is undefined for zero or negative values
- Less affected by extremes than arithmetic mean (but more than median)
Formulas
Ungrouped Data: $$GM = \sqrt[n]{x_1 \times x_2 \times \cdots \times x_n} = \left(\prod_{i=1}^{n}x_i\right)^{1/n}$$
Ungrouped Data (Using Logarithms): $$\log(GM) = \frac{1}{n}\sum_{i=1}^{n}\log(x_i)$$
Grouped Data: $$GM = \sqrt[N]{x_1^{f_1} \times x_2^{f_2} \times \cdots \times x_n^{f_n}} = \left(\prod_{i=1}^{n}x_i^{f_i}\right)^{1/N}$$
Grouped Data (Using Logarithms): $$\log(GM) = \frac{1}{N}\sum_{i=1}^{n}f_i\log(x_i)$$
Where:
- N = total frequency (for grouped data)
- n = number of observations (for ungrouped data)
- fᵢ = frequency of class i
When to Use Geometric Mean
| Scenario | Example |
|---|---|
| Annual growth rates | 5%, 8%, 12% annual returns |
| Population growth | Bacteria doubling rates |
| Index numbers | Stock indices, price indices |
| Geometric properties | Side of square with same area |
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