One of the reasons that all statistically significant differences may not be meaningful is that,to a great extent,statistical significance is determined by:
A)competitors who are trying to sabotage research studies.
B)only a few customers.
C)statistical formulas that are unstable and unpredictable themselves.
D)sample size.
E)data mining software that is too new to be trustworthy.

Question

Quizplus · Accepted Answer

Statistical significance is strongly influenced by sample size, as larger sample sizes increase the power of the statistical test and make it more likely to detect meaningful differences. However, just because a difference is statistically significant does not necessarily mean it is practically significant or meaningful in the real world. Other factors like effect size, context, and practical considerations should also be taken into account when interpreting statistical significance.

One of the Reasons That All Statistically Significant Differences May