Jul 18, 2022 · For practical significance, you specified a cutoff of 0.25 for the log2 fold-change in your plot. That's only about a 19% change in fold change (2^0.25). Think about whether that …

For instance, if you had a coin which you knew had a long run probability of heads equal to .5000000005, a large enough number of trials would find statistical significance of unfairness, …

In this manner you can separate "statistical significance" from "practical significance" and ensure that the consistency property of the hypothesis test does not lead the p-value to converge to …

In particular, significance test of regressions are invalid in such setup. When you treat each time point as a separate independent group, you are likely to greatly exaggerate significance. The …

May 4, 2016 · Statistical significance is used to generalize sample data to the average mean of the population. If your population were those 8 people, then you don't need to worry about …

The way to get practical significance testing to be more popular might be to take a similar approach. More specifically, I often need to see if two percents are practically different from …

Aug 31, 2023 · Explanation The term "practical significance" is often an attempt to subdue the often erroneous usage of "significance" in statistics, which is supposed to be shorthand for …

Dec 13, 2015 · @noob Nothing automatically implies population normality. As well explained in this answer, all you have is the sample and a situation in which significance need not mean …

Practical significance: compute CIs for actual differences from the situation under the null in the case of say a two-sample t-test, look at a CI for the difference in means* - it should exclude 0, …

Jun 25, 2020 · However, the difference has no practical meaning. They are effectively the same, like the distance to the sun versus the distance to the sun plus an inch." The acknowledges …