## How do you write p value?

If the P value is less than 0.0001, we report “p value” The p is lowercase and italicized, and there is no hyphen between “p” and “value”.

## Why is the P value bad?

A low P-value indicates that observed data do not match the null hypothesis, and when the P-value is lower than the specified significance level (usually 5%) the null hypothesis is rejected, and the finding is considered statistically significant.

## What should my p value be?

The smaller the p-value, the stronger the evidence that you should reject the null hypothesis. A p-value less than 0.05 (typically ≤ 0.05) is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null is correct (and the results are random).

## Is P value of 0.001 significant?

Most authors refer to statistically significant as P significant as P 0.001 (less than one in a thousand chance of being wrong). The significance level (alpha) is the probability of type I error. The power of a test is one minus the probability of type II error (beta).

## What is the maximum P value?

A large p-value (> 0.05) indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis. p-values very close to the cutoff (0.05) are considered to be marginal (could go either way).

## How do you accept or reject the null hypothesis?

In Hypothesis testing, if the significance value of the test is greater than the predetermined significance level, then we accept the null hypothesis. If the significance value is less than the predetermined value, then we should reject the null hypothesis.