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I want to estimate the population mean using 100 samples. The reasonable estimate of the population mean is the sample mean. I am wondering, why bootstrap can give more accurate result than the sample mean? I mean, when I am doing resampling, will I get more information about the sample in order to infer the population parameter?

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    $\begingroup$ This question might be of interest: stats.stackexchange.com/questions/26088/… $\endgroup$
    – jld
    Apr 9, 2015 at 13:54
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    $\begingroup$ The bootstrap mean equals the sample mean, so it will never give a more accurate result for this particular estimator. The bootstrap might give you useful information about the sampling distribution of the mean. $\endgroup$
    – whuber
    Apr 9, 2015 at 14:08

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