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T test explanation session
Imagine this situation: a client in agribusiness hires us to analyze data from a tree planting experiment.
What we discover is intriguing and promising.
During data analysis, we discovered that the initial hypothesis of the experiment could not be validated. However, as we dove into the trends in the data, we detected a clear pattern: a significant improvement in average stem length when the seedling root exceeded a certain average weight.
Our approach focused on building on this observation. We recommended experimenting to increase root weight up to a certain specific point, detected during a given age in weeks.
This project is still in the testing phase, but the possibilities are exciting.