For the null hypothesis to be rejected, an observed result has to be statistically significant, i.e. the observed p -value is less than the pre-specified significance level .

Mar 28, 2025 · 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 evidence concerning …

Feb 20, 2025 · Statistical significance does not equal practical significance: A statistically significant result does not always imply that the effect is important or large enough to matter in …

Jan 7, 2021 · If a result is statistically significant, that means it's unlikely to be explained solely by random factors or chance.

Mar 29, 2025 · What Is a Statistically Significant Difference? In social science research, a statistically significant difference means that the results observed in a study are unlikely to be …

Aug 11, 2025 · With a larger sample, even small differences between groups or effects can become statistically significant, yielding lower p-values. In contrast, smaller sample sizes may …

A statistically significant difference would mean a large difference between the two groups, large enough not just to be random or caused by chance. While all statistically significant results …

A significant difference refers to a result that is unlikely to have occurred by chance alone, indicating that there is a real effect or relationship present in the data being analyzed.

Results are said to be statistically significant when the difference between the hypothesized population parameter and observed sample statistic is large enough to conclude that it is …

Nov 7, 2022 · Your results are statistically significant if the p-value is ≤ your significance level. For example, if your p-value is 0.01 and your significance level is 0.05, your results are statistically …