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What does a highly significant p-value mean?

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. A p-value higher than 0.05 (> 0.05) is not statistically significant and **indicates strong evidence for the null hypothesis**.

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

In a t test, like in most tests of significance, the significance threshold is traditionally set at p = 0.05. 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.

__Does a higher t-value mean a lower p-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 a high p-value mean in regression?

This variable is statistically significant and probably a worthwhile addition to your regression model. On the other hand, a p-value that is greater than the significance level indicates that there is insufficient evidence in your sample to conclude that a non-zero correlation exists.

## Is a high T value good or bad?

The greater the magnitude of T (it can be either positive or negative), the greater the evidence against the null hypothesis that there is no significant difference. The closer T is to zero, the more likely there isn't a significant difference.

## What does p-value and T value mean?

T-test provides the difference between two measures within a normal range, whereas p-value focuses on the extreme side of the sample and thus provides an extreme result.

## Is above 05 statistically significant?

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.