# P value calculator

**P-value calculator** for the following distributions:

Normal distribution (z), t-distribution, f-distribution, chi-square distribution

### P value calculator from z

To calculate the p-value from z score, choose the normal distribution and enter the z score in the statistic field.

### P value calculator from t

To calculate the p-value from t score, choose the T distribution and enter the t score in the statistic field.

### P value calculator from F

To calculate the p-value from f score, choose the F distribution and enter the f score in the statistic field.

### P value calculator from Chi square

To calculate the p value from chi square score, choose the chi square distribution and enter the chi square score in the statistic field.

### What is p value?

**The p-value is the probability to get the current statistic result under the assumption that H _{0} is correct.**

If you decide to reject the H

_{0}, P-value is the probability of type I error - rejecting a correct H

_{0}. A commonly used rule defines a significance level of 0.05. When the p-value is smaller than the significance level, you can reject the null hypothesis with a little chance of error. Another commonly used significance level is 0.01.

If you know the statistic value, choose the relevant

**distribution**otherwise go to z test, t test, chi-squared test, f test calculators.

### When is p value significant?

The p value is significant when it is equal the significance level (α) or lower.

### Why do we reject the null hypothesis when the p value is small?

The p-value is the probability of rejecting a correct H_{0}. When the p value is **small**, the probability of rejecting a correct H_{0} is **small**, hence the probability for a mistake is **small**.

### P value formula

X is the test statistic value, and you know the distribution of X.

For example X may be Z, T etc.

- Left tailed: P-value = p(x≤X)
- Right tailed: P-value = 1 - p(x≤X)
- Two tailed: P-value = 2 * Min( p(x≤X), 1 - p(x≤X) )