@mohitlearns wrote:
Hello,
My question is about statistical test / Hypothesis testing. Having read numerous kernels/ solutions to various hacks, I have never noticed anyone stating any hypothesis, verifying it or anything to that effect.People are in a hurry to load data, Do some jazzy EDA, some feature engineering and then hook some Algorithm.
My questions are as follows:
When do we test data using various tests - ANOVA, Chi, t-test, check for Type1, Type2 errors. I have not seen anyone performing such tests in any solution so far. Can someone share a case study where it’s been done effectively & practically
We make certain assumptions about the project / or assumptions which can affect the “Target Variable”.How do we do Hypothesis testing to accept or discard the assumptions? Need a practical scenario or a run through case or a solved case study.
Thanks,
Mohit
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