Margin of Error Calculator
Result
Margin of Error ± 4.38%
Z-Score Used 1.96
Sample Size 500
Proportion 50%
Margin of Error Calculator is a mathematics calculator that helps you calculate profit, loss, or margin from revenue and cost figures. The formula used is: MOE = z × √(p(1−p)/n) × 100%. Ensure all inputs share the same unit system (e.g. all metres or all feet) unless the formula converts between units.
Formula
MOE = z × √(p(1−p)/n) × 100%
Example Calculation
Inputs
- Sample Size (n): 500
- Estimated Proportion (p): 0.5
Suppose you enter: Sample Size (n) = 500, Estimated Proportion (p) = 0.5. The calculator applies the formula (MOE = z × √(p(1−p)/n) × 100%) and shows all output values below. Change any input field to immediately see how the result changes.
Frequently asked questions
What is the Margin of Error?
The Margin of Error Calculator is a mathematics calculator that helps you calculate profit, loss, or margin from revenue and cost figures. Ensure all inputs share the same unit system (e.g. all metres or all feet) unless the formula converts between units.
When should I use this calculator?
Use this calculator whenever you need a quick, accurate result for profit, loss, or margin from revenue and cost figures without working through the arithmetic manually.
What units should I enter?
Ensure all inputs share the same unit system (e.g. all metres or all feet) unless the formula converts between units.
How accurate are the results?
Results are mathematically exact given the formula and your inputs. Rounding to decimal places may introduce small display differences.
How do I interpret the result?
Check that all inputs are in the valid range for the formula. Some operations (e.g. square root, division) require non-negative or non-zero values.
How can I verify the calculation manually?
Use the displayed formula and work through the numbers step by step. If your manual result differs slightly, check rounding and unit conversions first.
Can I use this for planning and budgeting?
Yes. Run best-case, expected, and worst-case inputs to compare outcomes and make safer planning decisions.