How To Calculate P Value For Two Tailed Test

Understanding statistical significance is crucial in various scientific studies and experiments. One commonly used measure is the P-Value, which helps determine the likelihood of obtaining observed results due to chance. In this article, we’ll explore how to calculate the P-Value for a two-tailed test.

Formula: The P-Value for a two-tailed test is calculated using complex statistical formulas. It involves the observed value, mean value, standard deviation, and sample size. The exact formula may vary based on the statistical test being conducted.

How to Use:

  1. Enter the observed value in the designated field.
  2. Input the mean value of the sample.
  3. Provide the standard deviation of the data.
  4. Specify the sample size used in the experiment.
  5. Click the “Calculate” button to obtain the P-Value.

Example: For instance, if the observed value is 3.2, the mean value is 2.5, the standard deviation is 1.8, and the sample size is 50, the calculator will determine the P-Value based on these inputs.


  1. Q: What is a P-Value? A: The P-Value is a statistical measure that helps assess the evidence against a null hypothesis in a hypothesis test.
  2. Q: Why is it essential to calculate the P-Value? A: Calculating the P-Value allows researchers to determine the significance of their findings and make informed decisions.

Conclusion: In conclusion, understanding how to calculate the P-Value for a two-tailed test is vital for researchers and statisticians. Our online calculator simplifies this process, providing quick and accurate results for your experiments. Use it to enhance the rigor and validity of your statistical analyses.

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