Understanding the sampling distribution

The sampling distribution is the likelihood of gathering every possible statistic from a sample of a population that is taken randomly. Useful information can be derived using the sampling distribution without the complete knowledge of the population. Suppose we are calculating the sample mean but we don't know the population. Still, we can assume that the sample mean is within a certain number of standard deviations of the population mean.

Get Julia for Data Science now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.