Understanding P-value
P-value is the probability of obtaining observed results or more extreme results when the null hypothesis is true. Smaller values provide stronger evidence to reject the null hypothesis.
P-value Calculator
Enter test statistic and degrees of freedom to check P-value and statistical significance.
Determining Statistical Significance
Typically α = 0.05 or 0.01 is used as the criterion. If P-value is less than α, it is considered statistically significant.
Research and Paper Writing
P-value is an essential statistical indicator when reporting hypothesis testing results in academic research and papers.
A/B Testing and Decision Making
Check statistical significance of A/B test results in marketing, product development, etc. to make data-driven decisions.