One Sample Mean Test Power Calculator
Estimates approximate two-sided power for a one-sample mean test. The worked condition keeps the inputs and convention visible for checking.
Set the labeled inputs
One Sample Mean Test Power
The quantity this page defines in the worked condition for one sample mean test power
Estimates approximate two-sided power for a one-sample mean test. The named quantity is one sample mean test power calculator. This is section 1 of the one sample mean test power discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the one sample mean test power setup and section 1.
For one sample mean 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.
A related calculation is two sample mean test power.
A direct numerical check before reporting for one sample mean test power
This normal approximation assumes a planned standard deviation, effect, alpha of .05, and independent observations. The named quantity is one sample mean test power calculator. This is section 2 of the one sample mean test power discussion.
A mean difference of 2 with SD 4 and n=30 gives a power estimate near 0.64. This statement is conditional on the one sample mean test power setup and section 2.
For one sample mean 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.
Interpreting the result under the stated model for one sample mean test power
This normal approximation assumes a planned standard deviation, effect, alpha of .05, and independent observations. The named quantity is one sample mean test power calculator. This is section 3 of the one sample mean test power discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the one sample mean test power setup and section 3.
For one sample mean 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.
Keeping a reproducible record when the sample changes for one sample mean test power
Estimates approximate two-sided power for a one-sample mean test. The named quantity is one sample mean test power calculator. This is section 4 of the one sample mean test power discussion.
A mean difference of 2 with SD 4 and n=30 gives a power estimate near 0.64. This statement is conditional on the one sample mean test power setup and section 4.
For one sample mean 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 design boundary during an independent review for one sample mean test power
This normal approximation assumes a planned standard deviation, effect, alpha of .05, and independent observations. The named quantity is one sample mean test power calculator. This is section 5 of the one sample mean test power discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the one sample mean test power setup and section 5.
For one sample mean 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.
The scale of the output at the chosen parameters for one sample mean test power
This normal approximation assumes a planned standard deviation, effect, alpha of .05, and independent observations. The named quantity is one sample mean test power calculator. This is section 6 of the one sample mean test power discussion.
A mean difference of 2 with SD 4 and n=30 gives a power estimate near 0.64. This statement is conditional on the one sample mean test power setup and section 6.
For one sample mean 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
For this result, what should be checked before reusing this result for one sample mean test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is one sample mean test power calculator.
During an independent check, why might another program return a different number for one sample mean test power?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is one sample mean test power calculator.