Question: Code in Python: Using exponential probability distribution (expon): We will set loc=1 since the new members are likely to quit during the first month. But,

Code in Python:

Using exponential probability distribution (expon):

We will set loc=1 since the new members are likely to quit during the first month. But, what value of scale maximizes the log-likelihood of the data?

As an example, compute the log-likelihood of this dataset using a scale value of 4. The observed data here is the number of months a person remains enrolled before eventually quitting.

Make sure that your data is the mem_duration for individuals with status=="Q".

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