p-value Calculator
Calculate the p-value from test statistics (Z, T, F, Chi-Square). Essential for hypothesis testing and statistical significance.
p-value (One-tailed)
Significance Level (%)
Strategic Optimization
p-value Calculator
The p-value is the probability of obtaining test results at least as extreme as the results actually observed, assuming that the null hypothesis is true. It is the gold standard for statistical significance in scientific research.
Understanding Significance
- p < 0.05: Strong presumption against null hypothesis (Significant).
- p < 0.01: Very strong presumption against null hypothesis (Highly Significant).
- p > 0.05: Not significant (Fail to reject null hypothesis).
Uses
- A/B Testing: Determine if a conversion rate lift is real or noise.
- Clinical Trials: Verify if a drug's effect is statistically distinguishable from a placebo.
- Academic Research: The standard gatekeeper for publication in scientific journals.
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Disclaimer
This calculator is provided for educational and informational purposes only. It does not constitute professional legal, financial, medical, or engineering advice. While we strive for accuracy, results are estimates based on the inputs provided and should not be relied upon for making significant decisions. Please consult a qualified professional (lawyer, accountant, doctor, etc.) to verify your specific situation. CalculateThis.ai disclaims any liability for damages resulting from the use of this tool.