Statistical and practical significance are not the same thing. Statistical significance refers to the unlikelihood that mean differences are due to sampling error, while practical
significance looks at whether those differences are large enough to be of any practical value. While statistical significance is important when examining any research finding, researchers should also examine the practical significance or practical application of that finding.

Discuss how probability, effect size (power), and sample size are related to statistical significance. Use the Jones and Sommerlund (2007) article to support your discussion. When might a finding have practical significance but not have any statistical significance? Explain your answer and provide an example.
This is one of the sources that needs to be used:
Jones, A. & Sommerlund, B. (2007). A critical discussion of null hypothesis significance testing and statistical power analysis within psychological research. Nordic Psychology, 59(3), 223-230. Doi: 10.1027/1901-2276.59.3.223. Retrieved from EBSCO host.