What are the major differences between practical and statistical significance?
2 answers
http://www.abacon.com/graziano/ch05/tsld024.htm
The height of sucessful business leaders is correlated the level of their position, with those in higher positions having greater height. This is statistically significant. In other words, this relationship is very unlikely to be due to chance.
On the other hand, the differences between levels are merely fractions of an inch, with great overlap between adjacent groups. Because of this, it is very difficult to choose specific individuals to promote on the basis of height. Other variables — most likely also correlated to height — may be influencing this relationship. Thus the height alone would not be a good predictor for choosing an individual for an administrative position. It has little practical significance.
I hope you can relate this example to health care to give you a better understanding. Thanks for asking.
On the other hand, the differences between levels are merely fractions of an inch, with great overlap between adjacent groups. Because of this, it is very difficult to choose specific individuals to promote on the basis of height. Other variables — most likely also correlated to height — may be influencing this relationship. Thus the height alone would not be a good predictor for choosing an individual for an administrative position. It has little practical significance.
I hope you can relate this example to health care to give you a better understanding. Thanks for asking.
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