# What is borderline statistical significance?

## What is borderline statistical significance?

The phrase refers to a setting where the p-value is not small enough to allow you to claim statistical significance, but still was close enough to 0.05 to be worth commenting on.

Is 0.053 statistically significant?

Considering a significance level alpha = 0.05, a p-value = 0.05 is significant and p-value = 0.053 is not significant.

Is p 0.1 statistically significant?

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

### Is 0.026 statistically significant?

Conversely, if we have a P value reported as 0.026, we can say that we have a 2.6% probability that our variable settings did not cause a difference in the reported values compared to the original values.

Is p-value 0.09 significant?

But there’s still no getting around the fact that a p-value of 0.09 is not a statistically significant result.

Is 0.056 statistically significant?

In the majority of analyses, an alpha of 0.05 is used as the cutoff for significance. If the p-value is less than 0.05, we reject the null hypothesis that there’s no difference between the means and conclude that a significant difference does exist.

#### Is .054 statistically significant?

054). It is merely a reflection of your (statistical) thinking with respect to what you deem to be an acceptable risk with respect to rejecting hypotheses. If you have set 5% as your risk tolerance then 5% it is: therefore . 054 indicates a not significant outcome.

What does a statistical significance at the p .05 and 0.001 level mean?

Interpretation of p-value The p-value indicates how probable the results are due to chance. p=0.05 means that there is a 5% probability that the results are due to random chance. p=0.001 means that the chances are only 1 in a thousand. The choice of significance level at which you reject null hypothesis is arbitrary.

Is .015 statistically significant?

Below 0.05, significant. Over 0.05, not significant.

## Is .059 statistically significant?

059), even though, technically, both are “nonsignificant.” A P value of . 059 can be interpreted to mean that there is possibly some “signal” of real difference in the data.

Is there such a thing as a borderline p-value?

This is a mistake. I’d be happier if researchers used the term “borderline” to refer to anything that comes within kissing distance of 0.05 whether from the left side or the right side. But if someone recognizes that a p-value slightly larger than 0.05 is still worth discussion, I think that is a step in the right direction.

What is statistic significance?

Statistical significance is a term used by researchers to state that it is unlikely their observations could have occurred under the null hypothesis of a statistical test. Significance is usually denoted by a p-value, or probability value.

### What does it mean when a study is not statistically significant?

„Statistical significance‟ should not be confused with the size or importance of an effect. When results are not „statistically significant‟ it cannot be assumed that there was no impact. Typically a cut-off of 5% is used to indicate statistical significance.

What is a statistically significant p-value?

The most common threshold is p < 0.05, which means that the data is likely to occur less than 5% of the time under the null hypothesis. When the p -value falls below the chosen alpha value, then we say the result of the test is statistically significant.