'Why is the mean = 0 to calculate the confidence intervals of a distribution when using stats.norm?
I somewhat understand how to calculate the Confidence interval in this manner but why is it that in this code, they used the mean=0 within the stats.norm
se = np.std(data) / np.sqrt(len(data))
sample_mean = data.mean()
difference_means_distribution = stats.norm(0 <<<<<, se)
lower, upper = (sample_mean + difference_means_distribution.ppf(0.025),
sample_mean - difference_means_distribution.ppf(0.025))
Shouldn't it be stats.norm(sample_mean, se) ?
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