P xi Probability of the i th value. A set of real numbers a set of vectors a set of arbitrary non-numerical values etcFor example the sample space of a coin flip would be heads. Assume we repeatedly take samples of a given size from this population and calculate the arithmetic mean.
The sampling distribution of a sample mean.
The sampling distribution of a sample mean. Mean a b 2 s b a 2 12. Binomial Probability Distribution Formula. The importance of the Central Limit Theorem is that it allows us to make probability statements about the sample mean specifically in relation to its value in comparison to the population mean as we will see in.