AAMC PS SB 7

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LiteralLungs

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I see why A is true. Is a p value < 0.05 what you should always look for when determining whether there is a significant difference. I was confused because, looking at the standard error provided for the cocaine exposure and control groups, they overlap. I always thought that if the error bars overlapped, the difference was not significant. According to this question, significance is only determined by the p value.

What I mean is, if you consider the upper bound for control and lower bound for cocaine exposure, there is overlap.

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Yes, it’s all about the p-value. Look at the sample size for each group. It’s fairly big, so you can get significance with the bars overlapping. This is also true in research, where the easiest way to get significant difference is usually bulking up the size of N.
 
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