X Power is a simple software tool that efficiently calculates the statistical power of tests. It is user-friendly and intuitive, making it easy for researchers and analysts to use.
Power on X is a user-friendly program that allows users to calculate the statistical power of tests. This software can perform both a priori and post hoc power calculations. It currently supports power calculations based on one and two-tailed t-Tests of means or correlations.
The calculator interface features a main calculation window in which users can input data and select the type of test. Additionally, Power on X includes an 'effect size' calculator that can calculate 'effect size' from means and standard deviation, means and two standard deviations (requires sample size to be known), means and standard error of means (requires sample size to be known), and correlation.
The full version of Power on X has the ability to produce power and sample size tables for any given alpha value. Other notable features of Power on X include being written in Cocoa and therefore Mac OS X native, support for calculating power for one and two-tailed t-Tests, performing post hoc and a priori power calculations, and the ability to calculate power and sample size tables for any given alpha (significance value) and a range of sample size.
However, the demo version of Power on X has limitations such as a disabled table feature and a 'nag' screen that appears. Overall, Power on X is a valuable tool for those who conduct statistical analyses and need to calculate statistical power for their tests.
The calculator interface features a main calculation window in which users can input data and select the type of test. Additionally, Power on X includes an 'effect size' calculator that can calculate 'effect size' from means and standard deviation, means and two standard deviations (requires sample size to be known), means and standard error of means (requires sample size to be known), and correlation.
The full version of Power on X has the ability to produce power and sample size tables for any given alpha value. Other notable features of Power on X include being written in Cocoa and therefore Mac OS X native, support for calculating power for one and two-tailed t-Tests, performing post hoc and a priori power calculations, and the ability to calculate power and sample size tables for any given alpha (significance value) and a range of sample size.
However, the demo version of Power on X has limitations such as a disabled table feature and a 'nag' screen that appears. Overall, Power on X is a valuable tool for those who conduct statistical analyses and need to calculate statistical power for their tests.
What's New
Version 1.6.5: N/A