Explain the difference between the type of information given by the tests of statistical significance such as t and Chi Square, and information given by measures of association such as Gamma, the Coefficient of Determination (r2), Cramer's V and Pearsonâs correlation coefficient (r). What is meant by a PRE measure? Which of the measures listed above are PRE?
Can a test of significance show a statistically significant relationship while a measure of association shows a weak relationship between the variables?
If yes, present an example illustrating how such a situation might occur.