ABSTRACT
As discussed in the last chapter, rarely are we able to work with an entire population of individuals. Instead, we usually try our treatment or intervention on a sample of individuals from the population. If our treatment is successful, we can infer that the results apply to the population of interest. Inferential statistics involves making inferences from sample statistics, such as the sample mean ( ) and the sample standard deviation (s) to population parameters such as the population mean (µ) and the population standard deviation (σ). When we refer to sample statistics, we use Roman letters (our alphabet); when we refer to population parameters, we use Greek letters.
