I have two sets of data and a metric associated with each of them, I want to see if one category of data (e.g. males) have a tendency to have ahigher metric associated with it than the other category (e.g. females). The metric is continuous, however first category has over 2 million samples and the other only 200, is there a statistical test I can use?
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$\begingroup$ The way this question is phrased and the tags you have applied suggest there is something special about the numbers 2 million and 200 in the context of a t-test for you. What would it be? In what way are you supposing this question differs from one where the numbers might instead be, say, 10 and 20? $\endgroup$– whuber ♦Commented Aug 10, 2015 at 14:24
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$\begingroup$ It is mainly due to articles like these: blog.minitab.com/blog/statistics-and-quality-data-analysis/… where they emphasize the t-test giving huge significance to even the smallest of differences when the sample is too big. Also, I am not sure if such uneven sample size poses a problem as well. $\endgroup$– zukkmetCommented Aug 11, 2015 at 12:17
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