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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