p-value converter
// Convert and interpret p-values for statistical significance testing. Free p-value converter and calculator for research, data analysis, and hypothesis testing.
The P-Value Converter helps you interpret p-values and understand statistical significance in research and data analysis. This informational tool explains what p-values mean, common significance thresholds (0.05, 0.01, 0.001), and how to interpret results. P-values indicate the probability of observing your results (or more extreme) if the null hypothesis is true. Lower p-values suggest stronger evidence against the null hypothesis. This tool provides guidance on interpreting p-values and understanding their role in statistical hypothesis testing.
P-value = Probability of observing results given null hypothesis is trueP-values are calculated through statistical tests (t-tests, chi-square, ANOVA, etc.) and represent the probability of obtaining results at least as extreme as observed, assuming the null hypothesis is correct.
Reject null hypothesis at 0.05 level
Fail to reject null hypothesis
Strong evidence against null hypothesis