These are my lecture for University and College level students.
"sf" stands for the "survival function." The survival function S(x) of a random variable X is defined as the probability that X is greater than x
norm.sf(): This function calculates the survival function (sf) of the normal distribution. It returns the probability that a value drawn from the normal distribution is greater than the specified threshold.
39: This is the threshold value. In this case, it represents the minimum amount of time spent in the store for which you want to calculate the probability.
loc=mean: This parameter specifies the mean (average) of the normal distribution. In this context, it represents the average time spent by a shopper in the store.
scale=std_dev: This parameter specifies the standard deviation of the normal distribution. It represents the measure of the dispersion or spread of the time spent by shoppers in the store around the mean.
https://docs.scipy.org/doc/scipy/refe...