Harmonisches-Mittel-Rechner
Berechnen Sie das harmonische Mittel eines Datensatzes.
Tilgungsplan
| # | Zahlung | Kapital | Zinsen | Restschuld |
|---|---|---|---|---|
Zeige die ersten 12 von Monate.
Wachstum über die Zeit
| Jahr | Investiert | Wert |
|---|---|---|
Einführung
Harmonic Mean Calculator — Compute the harmonic mean of a dataset. Enter Dataset (comma-separated, non-zero numbers) to get an instant, accurate result.
Formel
Harmonic mean = n / Σ(1/x), n divided by the sum of the reciprocals of each value.
Schritt für Schritt
- Enter the Dataset (comma-separated, non-zero numbers).
- Click Calculate to see your result instantly.
Praxisbeispiel
Example: With Dataset (comma-separated, non-zero numbers) = 1, 2, 4, the Harmonic Mean Calculator gives Harmonic Mean: 1.7143.
Häufig Gestellte Fragen
When is harmonic mean the right choice?
It's best for averaging rates, such as speeds over equal distances or price-to-earnings ratios, where the arithmetic mean would overstate the true average.
What happens if a value is zero?
The harmonic mean is undefined if any value is zero, since it requires dividing by that value.
What inputs does the Harmonic Mean Calculator need?
You'll need to provide: Dataset (comma-separated, non-zero numbers). All fields use sensible defaults, so you can see a working example immediately and then adjust the values to match your own numbers.
How accurate is the Harmonic Mean Calculator?
The Harmonic Mean Calculator applies the formula exactly as calculated — Harmonic mean = n / Σ(1/x), n divided by the sum of the reciprocals of each value. — so results are precise for the inputs you provide. Accuracy depends on entering correct, realistic input values.
Is the Harmonic Mean Calculator free to use?
Yes, the Harmonic Mean Calculator is completely free, requires no signup, and runs instantly in your browser.
Über Harmonisches-Mittel-Rechner
The Harmonic Mean Calculator uses a real, verifiable formula — Harmonic mean = n / Σ(1/x), n divided by the sum of the reciprocals of each value. — so results are accurate every time, not an approximation.