Power Analysis 2.0.1

Designing experiments and conducting measurements can often be a daunting task, particularly for those with limited statistical knowledge. With the right tools, however, confidence can substantially increase in the planning and execution phases.

One such tool provides invaluable insights into the data required for drawing meaningful conclusions, even before studies are initiated. It effectively takes the guesswork out of statistical planning.

• User-friendly interface: The application allows users to input necessary information seamlessly, without requiring extensive expertise in statistics.
• Data requirements: Understand how many observations are essential to yield the desired results.
• Measurement accuracy: Gain insights into the quality of measurements based on varying observation counts.
• Interactive visualizations: Engage with dynamic sliders to explore how key parameters influence measurement outcomes.
• Variety of distributions: The tool supports both rates and proportions (binomial distributions) as well as continuous distributions.
• Automated test selection: It identifies the most appropriate statistical tests based on experimental parameters, including t-tests, z-tests, chi-square tests, and exact binomial tests.
• Risk settings: Customize your tolerance for false positives and false negatives (Type I and Type II errors).

This application not only serves as a practical resource for experiment design but also functions as an interactive study tool to enhance understanding of measurement statistics.