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When there is a statistically significant difference between two treatment groups?

The determination of whether there is a statistically significant difference between the two means is reported as a p-value. Typically, if the p-value is below a certain level (usually 0.05), the conclusion is that there is a difference between the two group means.

What does it mean when a difference between two groups is statistically significant?

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 means there really is no difference), there's a low probability of getting a result that large or larger.

What does it mean if statistical tests show there is significant difference between treatment groups?

The T-test is a test of a statistical significant difference between two groups. A "significant difference" means that the results that are seen are most likely not due to chance or sampling error.

What does it mean to find statistically significant results quizlet?

Statistical significance means that the result observed in a sample is unusual when the null hypothesis is assumed to be true. When testing a hypothesis using the​ P-value Approach, if the​ P-value is​ large, reject the null hypothesis.