Planning: The first step in any study
The Planning function helps you to decide how many samples are required to prove that a difference is significant; 4 methods are available:
- Fisher's Exact - calculates the power of a 2 x 2 contingency table analysed using Fisher's exact test.
- t-Test Unequal Variances - calculates the power for detecting the differences between two means taken from distributions with different variances.
- t-Test Equal Variances - calculates the power for detecting the differences between two means taken from distributions with similar variances.
- Power of Correlation - calculates the power to detect a correlation between two variables.
Understanding the sampling requirements is the key to research success -
target your analyses to prove significance
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