## Is P value of 0.03 Significant?

So, you might get a p-value such as 0.03 (i.e., p = .

03).

This means that there is a 3% chance of finding a difference as large as (or larger than) the one in your study given that the null hypothesis is true.

…

03, we would reject the null hypothesis and accept the alternative hypothesis..

## Is P value of 0.01 Significant?

In summary, due to the conveniently available exact p values provided by modern statistical data analysis software, there is a wave of p value abuse in scientific inquiry by considering a p < 0.05 or 0.01 result as automatically being significant findings and that a smaller p value represents a more significant impact.

## Is P 0.04 statistically significant?

The Chi-square test that you apply yields a P value of 0.04, a value that is less than 0.05. … The interpretation is wrong because a P value, even one that is statistically significant, does not determine truth.

## What does P value of 0.9 mean?

If P(real) = 0.9, there is only a 10% chance that the null hypothesis is true at the outset. Consequently, the probability of rejecting a true null at the conclusion of the test must be less than 10%. … It shows that the decrease from the initial probability to the final probability of a true null depends on the P value.

## Is P value of 0.05 Significant?

P > 0.05 is the probability that the null hypothesis is true. … A statistically significant test result (P ≤ 0.05) means that the test hypothesis is false or should be rejected. A P value greater than 0.05 means that no effect was observed.

## What does P value of 0.02 mean?

In hypothesis testing, when your p-value is less than the alpha level you selected (typically 0.05), you’d reject the null hypothesis in favor of the alternative hypothesis. … If we get a p-value of 0.02 and we’re using 0.05 as our alpha level, we would reject the hypothesis that the population means are equal.