Statistical inference is the process of inferring properties of the entire population using a subset of it, known as a sample. We introduce the concept of sample and populations. We use quality control to introduce the concept of sampling distribution and standard error. Estimation of population parameters using samples is followed by introducing the theory of hypothesis testing. The concept of comparing variation is introduced in Anova.