What is the difference between measures of association and tests of statistical significance? Give an example...

What is the difference between measures of association and tests of statistical significance? Give an example for each.

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Expert Solution

The measures of association is to analyse the strength of association between the variables that is been studied. A variety of coefficient measures the statistical strength between the variables that are to be studied and analyzed. The strenght of association is analysed in categorical that is nominal or ordinal or on a continous types of data. Example- Pearson's correlation coefficient (r), the coefficient of determination (r²).

The tests of statistical significance studies or analysis the probability of relationship that is between the variables. The tests of significance analysis whether the relationship between the variables are due to chance or an actual relationship exists. Hence, it has a null hypothesis that states that there is no relationship between the variables and an alternate hypothesis that states that there is a relationship between the variables. When the null hypothesis is proved this means that the relationship was due to chance. When the null hypothesis is rejected then it establishes the alternate hypothesis that there's a significant relationship between the variables. Example- t tests and Chi square tests.

Hayet Jeridi answered 5 months ago

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