One Proportion Test Power Calculator
Estimates approximate power for a one-proportion test. The worked condition keeps the inputs and convention visible for checking.
Set the labeled inputs
One Proportion Test Power
Where the method applies when the sample changes for one proportion test power
Estimates approximate power for a one-proportion test. The named quantity is one proportion test power calculator. This is section 1 of the one proportion test power discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the one proportion test power setup and section 1.
For one proportion test power, preserve the source definition, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
When another method fits during an independent review for one proportion test power
The normal approximation is sensitive to the null proportion, sample size, and whether the planned effect is substantively meaningful. The named quantity is one proportion test power calculator. This is section 2 of the one proportion test power discussion.
A planned proportion of .60 against .50 with n=100 gives an approximate power near 0.70. This statement is conditional on the one proportion test power setup and section 2.
For one proportion test power, preserve the denominator choice, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
A controlled alternative at the chosen parameters for one proportion test power
The normal approximation is sensitive to the null proportion, sample size, and whether the planned effect is substantively meaningful. The named quantity is one proportion test power calculator. This is section 3 of the one proportion test power discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the one proportion test power setup and section 3.
For one proportion test power, preserve the comparison group, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
What the result can support before comparing methods for one proportion test power
Estimates approximate power for a one-proportion test. The named quantity is one proportion test power calculator. This is section 4 of the one proportion test power discussion.
A planned proportion of .60 against .50 with n=100 gives an approximate power near 0.70. This statement is conditional on the one proportion test power setup and section 4.
For one proportion test power, preserve the time boundary, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
A related calculation is two proportion test power.
A check on the stated parameter when the result is reused for one proportion test power
The normal approximation is sensitive to the null proportion, sample size, and whether the planned effect is substantively meaningful. The named quantity is one proportion test power calculator. This is section 5 of the one proportion test power discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the one proportion test power setup and section 5.
For one proportion test power, preserve the design boundary, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
What changes when an input moves in the worked condition for one proportion test power
The normal approximation is sensitive to the null proportion, sample size, and whether the planned effect is substantively meaningful. The named quantity is one proportion test power calculator. This is section 6 of the one proportion test power discussion.
A planned proportion of .60 against .50 with n=100 gives an approximate power near 0.70. This statement is conditional on the one proportion test power setup and section 6.
For one proportion test power, preserve the rounding rule, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
Questions about this calculation
When inputs change, can a boundary value be entered for one proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is one proportion test power calculator.
For the worked condition, how many digits should be reported for one proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is one proportion test power calculator.
When software results differ, does this result establish a causal relationship for one proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is one proportion test power calculator.
Before reporting, what belongs in the saved record for one proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is one proportion test power calculator.
When inputs change, what should be checked before reusing this result for one proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is one proportion test power calculator.