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各位大神，请教您们一个问题。在做t检验时，两组的样本量差很多，一组有一百多个，另一组只有几十个，，这样做比较会不会影响结果，是不是需要加上权重？请问怎么用？

我是用stata分析的。


在线等，急！


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关键词：STATA分析 Stata tata 在线等 样本量 在线 影响

http://stats.stackexchange.com/questions/74448/comparing-means-with-unequal-variance-and-very-different-sample-sizes
The traditional test for comparing two sample means is the t-test. There are no assumptions about the sizes of the samples, so it is OK if they are different.

However, you touch upon the normality assumption. Even if the population is not normally distributed, the Central Limit Theorem allows us to infer normality as the sample sizes increase. This means your test will be approximate, but the sample size for female is a little low.

Finally, the result of the t-test will be different for the original and log-ed data. Do you have a specific reason based on your data to use the logarithm? Perhaps there is another assumption you would like to test about the behavior of the log of your data? Do not take the log simply to create a normal curve if there is no deeper meaning, but for fun compare the difference between the two results anyway!