- How is the test calculated?
- Interpretation of the test results
- In the context of fisher test meaning of-p-value alternative hypothesis null hypothesis true odds ratio95 percent confidence interval sample estimate odds ratio. In the 1920s, Ronald Fisher developed the theory behind the p-value and Jerzy Neyman and Egon Pearson developed the theory of hypothesis testing. These distinct theories have provided researchers with important quantitative tools to confirm or refute their hypotheses. The p-value is the probability to obtain an effect equal to or more extreme than the one observed presuming the null hypothesis of no effect is true; it gives researchers a measure of the strength of the evidence against the null hypothesis.
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