Statistical methods: basic inferences

Abstract

The purpose of statistical analysis is to glean meaning from sets of data in order to describe data patterns and relationships between variables. In order to do this, we must be able to summarize and lay out datasets in a manner that allows us to use more advanced methods of examination. This chapter introduces fundamental methods of statistics, such as the central limit theorem, confidence intervals, hypothesis testing and analysis of variance (ANOVA).