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 …

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

Aug 11, 2025 · If your p-value is less than or equal to 0.05 (the significance level), you would conclude that your result is statistically significant. This means the evidence is strong enough …

Feb 20, 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), …

An observation is statistically significant if its probability of occurring is extremely small given the truth of a null hypothesis. Since its conception in the 18th century, statistical significance has …

Nov 7, 2022 · The definition of statistically significant is that the sample effect is unlikely to be caused by chance (i.e., sampling error). In other words, what we see in the sample likely …

Statistical significance is a way to tell you if your test or experiment results are solid. They may, or may not be practically significant.

Statistical significance measures how likely a result occurred by chance. It’s key to analyzing data, using metrics like p-values, effect size, and confidence intervals.

Learn the basics of statistical significance, including the definition and formula, and see examples to help you make informed decisions.