Reference no: EM132914801

Exaggeration of significance testing leads to a third point - are the findings clinically meaningful? A significant finding does not infer a meaningful finding. This is because factors other than variance in scores influence the p-value or significance in a correlational analysis. Sample size is an important element in whether a non-random effect will be found. Small sample sizes might produce unstable, but significant, correlation estimates, so sample sizes greater than 150 to 200 have been recommended.23 Yet, it is not uncommon for published papers to report significant effects through correlational analysis of sample sizes of less than 150 patients.24-26 While reporting and publishing both the significant and non-significant results are important, given the instability that comes from a small sample size, there should be caution taken with interpretation until replication studies can verify the findings.

1.state all the gases is responsible for the yellowing of the Taj Mahal?
2.what are the contradictory measure of the wet deposition in the acid rain as demonstrated by the Earth's surface
3.explain on the reliability of a PH of 4.8 which enhances the survival of aquatic animals and plants?
4.demonstrate all the natural contributor(s) to sulphur dioxide in the atmosphere?
5.propose the pioneer for phenomenon of acid rain discovery
6.maximize the range of the highest annual rainfall parameter in india
7.apply the liming concept to the magnesium and calcium rich substances
8.explain/elaborate how Sulphur dioxide and nitrous oxide are the main contributors to acid rain?
9.how is the concept of the Glass containers affect the pH of the rain water not preferred to sampling rain water
10.relate the 5.6 PH to the atmospheric carbon dioxide element