A t-test is an inferential statistic used in hypothesis testing to determine if there is a statistically significant difference between the means of two samples.

In Tukey’s test results, the formula indicates how large an observed difference must be to call it significant. Any absolute difference between means has to exceed the value of HSD to be ...

The key differences between a paired and unpaired t-test are summarized below. A paired t-test is designed to compare the means of the same group or item under two separate scenarios. An unpaired ...

Analysis of variance (ANOVA) is a statistical test used to assess the difference between the means of more than two groups. At its core, ANOVA allows you to simultaneously compare arithmetic means ...

Figure 30.16: Treatment LS-means for Unbalanced Two-Way Design No matter how you look at it, this data exhibits a strong effect due to the blocks (F-test p < 0.0001) and no significant interaction ...

When comparing two groups in a scientific study, statistical significance indicated by a p-value of less than 0.05 means that, in the case where there was no real difference between groups, there ...