What does it mean if the p-value is less than 001?

If the p-value is under . 01, results are considered statistically significant and if it’s below . 005 they are considered highly statistically significant.

How do you know if an independent samples t test is significant?

Independent Samples T Tests Hypotheses If the p-value is less than your significance level (e.g., 0.05), you can reject the null hypothesis. The difference between the two means is statistically significant. Your sample provides strong enough evidence to conclude that the two population means are not equal.

Does p-value have to be less than 1?

The level of statistical significance is often expressed as a p-value between 0 and 1. The smaller the p-value, the stronger the evidence that you should reject the null hypothesis. A p-value higher than 0.05 (> 0.05) is not statistically significant and indicates strong evidence for the null hypothesis.

What does a very small p-value mean?

The p-value is used as an alternative to rejection points to provide the smallest level of significance at which the null hypothesis would be rejected. A smaller p-value means that there is stronger evidence in favor of the alternative hypothesis.

What is the effect size for independent t-test?

For the independent samples T-test, Cohen’s d is determined by calculating the mean difference between your two groups, and then dividing the result by the pooled standard deviation. Cohen’s d is the appropriate effect size measure if two groups have similar standard deviations and are of the same size.

Can p-value be larger than 1?

It is a probability and, as a probability, it ranges from 0-1.0 and cannot exceed one. A p-value higher than one would mean a probability greater than 100\% and this can’t occur.

What is a small p-value?

A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis. p-values very close to the cutoff (0.05) are considered to be marginal (could go either way).