Variability is the concept that the same variable (the same observations made) may have different values from one measurement to the next and may not precisely follow an empirical law. All measurements and observations have a limited precision, some more so than others. Statistics is the study of how to draw reliable conclusions amid this variability, and how to calculate the reliability of any such conclusion.

Statistics is the science of variable data analysis. It is inductive in nature, deals with real-world phenomena, and can predict outcomes. Statistics may be used to compare the tendency of variables that have no single value. It can predict future events and outcomes based on past ones, and determine the probability of those outcomes.

Descriptive Statistics is concerned with describing and summarizing data.

Inferential Statistics is a process of reasoning where conclusions about a population may be drawn from statistics drawn from a sample.

  1. Probability
  2. Data, Samples, & Experiments
  3. Distribution Analysis
  4. Interpreting Statistics