From the course: Introduction to Data Science

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Creating a permutation

Creating a permutation

Hypothesis testing allows data scientists to make informed conclusions based on the data that they observe. I have a Pandas data frame that contains data on the time taken by a sample of avocado trees to grow avocado fruits and whether the trees receive fertilizer. If a tree received fertilizer, the corresponding value in the fertilizer column would be true. Otherwise, it would be false. I want to determine whether there's an association between growth duration and fertilizer usage, and I've already designed a hypothesis test. My null hypothesis states that on average, avocado trees that received fertilizer took the same period of time to grow than those that did not. And my alternative hypothesis states that on average, avocado trees that receive fertilizer took a shorter period of time to grow than those that did not. So I came up with the following test statistic The average growing time among avocado trees that receive fertilizer minus the average growing time among trees that did…

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