What does it mean if something is statistically insignificant?
In general, a lack of statistical significance says that with a given confidence level, the data we have and the statistical test we are performing cannot say that the effect we’re testing is something that is unlikely to be due to some quirk of the sample of data that we have rather than something true about the …
What is an example of statistical significance in psychology?
Such results are informally referred to as ‘statistically significant’. For example, if someone argues that “there’s only one chance in a thousand this could have happened by coincidence,” a 0.1% level of statistical significance is being implied.
What is an insignificant p-value?
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.
Is .001 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.
What does not statistically significant mean?
This means that the results are considered to be „statistically non-significant‟ if the analysis shows that differences as large as (or larger than) the observed difference would be expected to occur by chance more than one out of twenty times (p > 0.05).
How do you know if something is statistically significant?
The level at which one can accept whether an event is statistically significant is known as the significance level. Researchers use a test statistic known as the p-value to determine statistical significance: if the p-value falls below the significance level, then the result is statistically significant.