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    I'm writing an essay and came across a paper I want to use. The paper contains the following data:

    "Telomere length was significantly shorter in lung cancer patients than in controls (mean ± standard deviation: 1.59 ± 0.75 versus 2.16 ± 1.10, P < 0.0001"

    They suggest that there is a significant difference between the control and the experimental group, but the SDs of the two groups overlap. Does this mean that the data are not significantly different, or am I confusing SD with SE?
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    (Original post by thenumber2goose)
    I'm writing an essay and came across a paper I want to use. The paper contains the following data:

    "Telomere length was significantly shorter in lung cancer patients than in controls (mean ± standard deviation: 1.59 ± 0.75 versus 2.16 ± 1.10, P < 0.0001"

    They suggest that there is a significant difference between the control and the experimental group, but the SDs of the two groups overlap. Does this mean that the data are not significantly different, or am I confusing SD with SE?
    You're confusing SD with SE.
    It's the standard error bars that determine significance in data.
 
 
 
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