How to use the equilibrium dissociation extent calculator
Find how much a substance dissociates at equilibrium from its equilibrium constant and starting concentration. Enter equilibrium constant, initial concentration in the fields above; the amount dissociated, percent dissociation are computed instantly and plotted on the chart so you can see how the answer changes.
Common searches this calculator answers include “equilibrium dissociation”, “ICE table quadratic”, “percent dissociation”, “calculate equilibrium dissociation extent”, “find amount dissociated”.
Formula
Variables
- K — Equilibrium constant
- C — Initial concentration (M)
Worked example
With equilibrium constant = 0.01, initial concentration = 0.5 M, the calculator gives amount dissociated ≈ 0.06588723 M; percent dissociation ≈ 13.17745 %.
Frequently asked questions
What is the equilibrium dissociation extent calculator used for?
Find how much a substance dissociates at equilibrium from its equilibrium constant and starting concentration. It helps with questions such as “equilibrium dissociation”, “ICE table quadratic”, “percent dissociation”.
What is the formula for the equilibrium dissociation extent calculation?
Amount dissociated (M) = (-K+√(K × K+4 × K × C)) / 2. Percent dissociation (%) = [Amount dissociated] / C × 100. Here K is equilibrium constant, C is initial concentration (M).
What inputs do I need for the equilibrium dissociation extent calculator?
You need equilibrium constant, initial concentration in M. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.
How do I use the equilibrium dissociation extent calculator?
Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.
Is the equilibrium dissociation extent result exact?
Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.