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
Related Posts with normality distribution
Market shares after mixlogitDear all, Does anyone know how can the market shares after a mixlogit model, including price, be est…
Stratified analysis or statistical measures of co-linearityHello, I have a sample of 1239 participants. My exposure variable is binary (1 = yes, 0 = no), and …
Programming a loop for non-time series datasetDear all, I turn to you for advice once again, as I am working for the first time on a dataset that…
Consistently sorting data ahead of generating duplicatesDear community, I am currently trying to identify different individuals(across several years) withi…
Difference GMM, building valid instruments with X that is (mostly) time invariant.Hello, I have a theoretical question regarding the estimation of Difference GMM (Arellano Bond). I h…
Subscribe to:
Post Comments (Atom)
0 Response to normality distribution
Post a Comment