Payal,    The problem is that you are confusing statistical significance with practical significance.  When you have 1 million observations everything is "significant" because the CI are so small.  P-values are pretty much meaningless with that sample size.  You have to look at the data and determine what is "meaningful".    Doc Muhlbaier  Duke   
						
					
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