# What if the p-value is greater than 0.05 in t test?

## What if the p-value is greater than 0.05 in t test?

If a p-value reported from a t test is less than 0.05, then that result is said to be statistically significant. If a p-value is greater than 0.05, then the result is insignificant

## What does p-value over 0.5 mean?

In most sciences, results yielding a p-value of . 05 are considered on the borderline of statistical significance. If the p-value is under . 01, results are considered statistically significant and if it’s below . 005 they are considered highly statistically significant.

## What does a high p-value mean?

High p-values indicate that your evidence is not strong enough to suggest an effect exists in the population. An effect might exist but it’s possible that the effect size is too small, the sample size is too small, or there is too much variability for the hypothesis test to detect it.

## What if p-value is greater than 0.05 in correlation?

If the P-value is bigger than the significance level (u03b1 x3d0.05), we fail to reject the null hypothesis. We conclude that the correlation is not statically significant. Or in other words u201cwe conclude that there is not a significant linear correlation between x and y in the populationu201d

## What does it mean if the p-value is greater than the T value?

The larger the absolute value of the t-value, the smaller the p-value, and the greater the evidence against the null hypothesis.

## What does p-value indicate t test?

T-Values and P-values A p-value from a t test is the probability that the results from your sample data occurred by chance. P-values are from 0% to 100% and are usually written as a decimal (for example, a p value of 5% is 0.05). Low p-values indicate your data did not occur by chance.