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P Value Calculator

P Value Calculator


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Degrees of freedom (d):

Denominator degrees of freedom (d₂):

Significance level:


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An online p value calculator is specially designed to help you in calculating p value with the help of various statistical methods. You can determine the exact p value by having a hands-on grip on p score calculator.

If you are willing about having proper concept of the p value, give it a read.

What is P-Value?

In statistics, the P value is actually the probability of finding the most extreme outcomes when the null hypothesis that is supposed is true.

We cannot define the P value in terms of direct probability of a state.

Null Hypothesis (H0):

A condition in which we suppose that there is no difference between the observed value and the expected value of data is termed a null hypothesis.

We need to define the null hypothesis every time we look after a problem to find its solution.

For example:

Suppose Jack and Harry are two friends. Both of them go to the hospital for vaccination but unfortunately, Jack did not get the vaccine. Now after Harry gets injected with the dose, we will say that there is no difference in blood pressures of both friends.

Alternative Hypothesis (H1):

If we accept any considerable change in the population after analysis, then we are supposed to adopt the alternative hypothesis that supports any variance in the data.

For example:

The question is:
Is there any difference among the blood pressures of two sisters if we give one sister a sugar pill and panadol to the other sister?

The alternative hypothesis states that there exists a proper difference in the blood pressure of both the sisters because the sugar pill and panadol affect the physical and mental health of the body differently.

How to Calculate P Value?

As discussed before, we can approach different methods to find p value that uses different p value formula to compute the results. Theses include:

P value from Chi Square (X2):

A chi square test is basically a statistical hypothesis test that is used to calculate p value. With the help of chi square test, you can fetch the basic theme of whether there is a statistically significant difference among expected and observed values of frequencies. If you want to know more about a chi square test and finding p value using this statistical method, you can approach our free p value from chi square calculator.

P value from Z Score:

A z score tells you about the fluctuating standard deviations from the mean state. The following p value formula from z score tells us how to find p value:

P value for two-tailed test = p value from z score table * 2
P value for left0tailed test = p value from z score table
P value for right-tailed test = 1 – p value from z score table

You can either use p value calculator or p value from z score calculator to calculate the accurate results.

P value from T Score:

A t score is basically equivalent to that of the z score having some variation in concept. It also represents the phenomenon of standard deviation. The basic difference is a z score uses a mean of 0 while a t score uses the mean of 50. A p value from t score calculator assists you in calculating p value more precisely.

P value from F Score:

You can not find p value with the help of any p value formula for f score. However you can also use f score table to know how to find the p value. But, the most recommended way is to use a statistical p value calculator for calculating p value corresponding to the f score given.

P Value Chart:

You can have a proper guide by understanding how to find p-value using p value chart. Every method uses a different table for computing the value of can also verify the computed p value with the help of a free online p value calculator.

How a P Value Calculator Works?

Apart from the manual calculations, an online p score calculator can be used to find the p value by adopting various statistical ways. Let us see what we need to do:


From the drop down menu, select one of the following method for statistical calculation:

  • Two-tailed p value
  • left -tailed p value
  • Right-tailed p value

After this, select the type of test from next list which is either:

  • Z – Score
  • T -Score
  • Chi Square Score
  • F – Score

Once you are done with the selection criteria,

  • Input values against all parameters defined for the specific method you chose
  • Click ‘calculate’


The calculator calculates either:

  • Left-tailed p value
  • Right-tailed p value
  • Two-tailed p value
  • Significance level for which the p value is statistically significant


What does p value mean?

A p value refers to the measurement of the value of probability that an observed difference could occur by chance. There exists an inverse relationship among p value and statistical significance. A low p value will correspond to the greater statistical significance of the observed difference and vice versa.

What p value is significant?

If the p value is equal to or less than 0.05, it is said to be significant. A p value greater than 0.05 means you are having strong evidence for a null hypothesis.

How to interpret p value?

In statistics, the p value measures how much significant your hypothesis test is. You can interpret p value by having hands-on approach to our free online p value calculator.

Can a p value be greater than 1?

As you know that p value is the probability and probability ranges from 0 – 1.0, so p value can never exceed 1


A p value helps you in supporting or rejecting the null hypothesis. More technically, p value is the probability under a specified statistical model that the statistical summary of the data is equal to or more extreme.They have broad applications in the the medical as well as engineering fields where p value calculator is also used to predict the results.


From the source of wikipedia: composite hypothesis, Interpretation, Exact test, Statistical significance test.

From the source of khan academy: Simple probability, Intuitive sense of probabilities, Comparing probabilities.

From the source of lumen learning: Statistical Significance, Data Snooping, Testing Hypotheses Suggested by the Data, Degrees of Models.