01
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.
P-value
—
Significance
—
—
자세히 알아보기
02
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.
03
Research and Paper Writing
P-value is an essential statistical indicator when reporting hypothesis testing results in academic research and papers.
04
A/B Testing and Decision Making
Check statistical significance of A/B test results in marketing, product development, etc. to make data-driven decisions.
자주 묻는 질문
What does the P-value mean?
The P-value is the probability of observing the obtained result, or a more extreme one, assuming the null hypothesis is true. Smaller values give stronger evidence to reject the null hypothesis.
What is the difference between one-tailed and two-tailed tests?
A one-tailed test checks for a difference in one direction only, while a two-tailed test checks both directions. The two-tailed P-value is double the one-tailed value.