Hi. I work with efficiency data that is between zero and one and use the following command to transform data.

[gen angular = asin(sqrt(efficiency)]

However, after the Kolmogrov-Smirnov normality distribution test for independent t-test, the distribution of transformed data was not normal. How can I normalize data distribution?

Thanks

[gen angular = asin(sqrt(efficiency)]

However, after the Kolmogrov-Smirnov normality distribution test for independent t-test, the distribution of transformed data was not normal. How can I normalize data distribution?

Thanks

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