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kjetil b halvorsen ♦
kjetil b halvorsen ♦
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I am comparing scores of two student groups using t-test (in scikit-learn). Each group has different number of students. Since there are considerable numbers of 0 scores in my data, the standard deviation gets even higher than the mean for the groups. So, I wonder, in this case, if it is still acceptable to keep the 0 scores? I appreciate any information!

Thanks!

I am comparing scores of two student groups using t-test (in scikit-learn). Each group has different number of students. Since there are considerable numbers of 0 scores in my data, the standard deviation gets even higher than the mean for the groups. So, I wonder, in this case, if it is still acceptable to keep the 0 scores? I appreciate any information!

Thanks!

I am comparing scores of two student groups using t-test (in scikit-learn). Each group has different number of students. Since there are considerable numbers of 0 scores in my data, the standard deviation gets even higher than the mean for the groups. So, I wonder, in this case, if it is still acceptable to keep the 0 scores? I appreciate any information!

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renakre
renakre
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Is having too high variance a problem when doing t-test

I am comparing scores of two student groups using t-test (in scikit-learn). Each group has different number of students. Since there are considerable numbers of 0 scores in my data, the standard deviation gets even higher than the mean for the groups. So, I wonder, in this case, if it is still acceptable to keep the 0 scores? I appreciate any information!

Thanks!