If you need standard deviation (σ) or variance (σ²) or mean (μ) and you already know var sub and number of trials (n) and number of successes (n) and probability of success (0 It is built around standard deviation (σ), variance (σ²), mean (μ), and it works the same way whether you are checking a homework answer, confirming a colleague's figure, or working something out for yourself. Everything runs in your browser, so nothing you enter is uploaded anywhere. The calculator works through the relationship one step at a time, so a change in any input flows straight through to the result. The relationship between var sub, number of trials (n), number of successes (n), probability of success (0 It is worth running the figures twice with slightly different inputs. A calculator that behaves sensibly will move its outputs by a proportionate amount; if a small change produces a wildly different answer, there is usually a unit or a decimal point issue somewhere in the inputs. Enter var sub, number of trials (n), number of successes (n), probability of success (0<p<1), z value, z score. The calculator then works through the relationship and reports standard deviation (σ), variance (σ²), mean (μ). It takes var sub and number of trials (n) and number of successes (n) and probability of success (0<p<1) and z value and z score and converts them into standard deviation (σ), variance (σ²), mean (μ) using the standard relationship for this problem. Each step is applied in turn, so every output is traceable back to the numbers you typed in. Use the value you actually have, in the unit shown next to the field. Enter every value in the same unit system. The calculator assumes the figures you supply are consistent, so it cannot correct a mistake that happens before the calculation starts. That happens when an output depends on a ratio, because dividing by a small number magnifies any change in it. Check the units first, then check whether the value you entered is in the range the relationship was designed for. Yes. The calculator is built for quick checks, so round your inputs to a sensible number of significant figures and the result will be just as useful. If you need more precision, keep the same method and add digits to the inputs rather than adjusting the method itself.
What Is the Continuity Correction Calculator?
How the Continuity Correction Calculation Works
Getting a Result You Can Trust
Frequently Asked Questions
What do I need to work out standard deviation (σ)?
What does the continuity correction actually calculate?
How should I enter var sub?
Why does a small change in one value move the answer so much?
Can I use this for a quick estimate as well as a precise answer?