Two Proportion Test Power Calculator
Estimates approximate power for comparing two independent proportions. The worked condition keeps the inputs and convention visible for checking.
Set the labeled inputs
Two Proportion Test Power
Interpreting the result during an independent review for two proportion test power
Estimates approximate power for comparing two independent proportions. The named quantity is two proportion test power calculator. This is section 1 of the two proportion test power discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the two proportion test power setup and section 1.
For two 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.
Keeping a reproducible record at the chosen parameters for two proportion test power
Equal group size and a large-sample normal approximation are assumed; sparse cells need another method. The named quantity is two proportion test power calculator. This is section 2 of the two proportion test power discussion.
A .20 proportion gap with 100 observations per group gives an approximate power near 0.72. This statement is conditional on the two proportion test power setup and section 2.
For two 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.
The design boundary before comparing methods for two proportion test power
Equal group size and a large-sample normal approximation are assumed; sparse cells need another method. The named quantity is two proportion test power calculator. This is section 3 of the two proportion test power discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the two proportion test power setup and section 3.
For two 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.
The scale of the output when the result is reused for two proportion test power
Estimates approximate power for comparing two independent proportions. The named quantity is two proportion test power calculator. This is section 4 of the two proportion test power discussion.
A .20 proportion gap with 100 observations per group gives an approximate power near 0.72. This statement is conditional on the two proportion test power setup and section 4.
For two 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.
The reference quantity in the worked condition for two proportion test power
Equal group size and a large-sample normal approximation are assumed; sparse cells need another method. The named quantity is two proportion test power calculator. This is section 5 of the two proportion test power discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the two proportion test power setup and section 5.
For two 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.
A related calculation is correlation test power.
A compact route to the answer before reporting for two proportion test power
Equal group size and a large-sample normal approximation are assumed; sparse cells need another method. The named quantity is two proportion test power calculator. This is section 6 of the two proportion test power discussion.
A .20 proportion gap with 100 observations per group gives an approximate power near 0.72. This statement is conditional on the two proportion test power setup and section 6.
For two 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.
The boundary of the claim under the stated model for two proportion test power
Estimates approximate power for comparing two independent proportions. The named quantity is two proportion test power calculator. This is section 7 of the two proportion test power discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the two proportion test power setup and section 7.
For two proportion test power, preserve the reference population, 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
Under the stated model, how many digits should be reported for two proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is two proportion test power calculator.
Before drawing a conclusion, does this result establish a causal relationship for two proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is two proportion test power calculator.
For this result, what belongs in the saved record for two proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is two proportion test power calculator.
During an independent check, what should be checked before reusing this result for two proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is two proportion test power calculator.
Under the stated model, why might another program return a different number for two proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is two proportion test power calculator.
Before drawing a conclusion, when should the calculation be repeated for two proportion test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is two proportion test power calculator.