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I would like to compare two datasets. Each dataset includes the ratio of chosen features (number of chosen tokens/number of all tokens in the document). The distribution is not normal.

I want to check of one group uses the features more often than the other one.

Would the Mann-Whitney U Test be suitable for me in this case? Which alternative should I take (SciPy suggests two-sided, less, and greater alternative)?

I would like to compare two datasets. Each dataset includes the ratio of chosen features (number of chosen tokens/number of all tokens in the document). The distribution is not normal.

I want to check of one group uses the features more often than the other one.

Would the Mann-Whitney U Test be suitable for me in this case? Which alternative should I take (SciPy suggests two-sided, less, and greater)?

I would like to compare two datasets. Each dataset includes the ratio of chosen features (number of chosen tokens/number of all tokens in the document). The distribution is not normal.

I want to check of one group uses the features more often than the other one.

Would the Mann-Whitney U Test be suitable for me in this case? Which alternative should I take (SciPy suggests two-sided, less, and greater alternative)?

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I would like to compare two datasets. Each dataset includes the ratio of chosen features (number of chosen tokens/number of all tokens in the document). The distribution is not normal.

I want to check of one group uses the features more often than the other one.

Would the Mann-Whitney U Test be suitable for me in this case? Which alternative should I take (SciPy suggests two-sided, less, and greater)?

I would like to compare two datasets. Each dataset includes the ratio of chosen features (number of chosen tokens/number of all tokens in the document). The distribution is not normal. Would the Mann-Whitney U Test be suitable for me in this case? Which alternative should I take (SciPy suggests two-sided, less, and greater)?

I would like to compare two datasets. Each dataset includes the ratio of chosen features (number of chosen tokens/number of all tokens in the document). The distribution is not normal.

I want to check of one group uses the features more often than the other one.

Would the Mann-Whitney U Test be suitable for me in this case? Which alternative should I take (SciPy suggests two-sided, less, and greater)?

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Mann-Whitney U Test with SciPy

I would like to compare two datasets. Each dataset includes the ratio of chosen features (number of chosen tokens/number of all tokens in the document). The distribution is not normal. Would the Mann-Whitney U Test be suitable for me in this case? Which alternative should I take (SciPy suggests two-sided, less, and greater)?