6 days ago · Statistical significance is a determination that a relationship between two or more variables is caused by something other than chance. It's used to provide...

Jan 7, 2021 · If a result is statistically significant, that means it’s unlikely to be explained solely by chance or random factors. In other words, a statistically significant result has a very low …

Feb 21, 2025 · Statistical significance helps researchers figure out if the effects they see in data are real or just random. By calculating the p-value and setting a significance level (α), …

Oct 13, 2023 · A p-value less than or equal to a predetermined significance level (often 0.05 or 0.01) indicates a statistically significant result, meaning the observed data provide strong …

Aug 4, 2023 · Statistical significance is a core concept in statistics. We use it in hypothesis testing to determine whether the results we obtain occurred by chance or whether they point to …

Statistical significance plays a pivotal role in statistical hypothesis testing. It is used to determine whether the null hypothesis should be rejected or retained. The null hypothesis is the …

Nov 7, 2022 · Statistical significance indicates that an effect you observe in a sample is unlikely to be the product of chance. For statistically significant results, you can conclude that an effect …

This means that a “statistically significant” finding is one in which it is likely the finding is real, reliable, and not due to chance. To evaluate whether a finding is statistically significant, …

Oct 21, 2014 · In principle, a statistically significant result (usually a difference) is a result that’s not attributed to chance. More technically, it means that if the Null Hypothesis is true (which …

5 days ago · So, when a researcher says a result is statistically significant at the 0.05 level, they mean they are 95% confident that the result reflects something real in the population.