Main Page | See live article | Alphabetical index The topics below are usually included in the area of interpreting statistical data. A more formal name for this topic is statistical inference. Statistical assumptions Likelihood principle Estimating parameters Testing statistical hypotheses Revising opinions in statistics planning statistical research -- summarizing statistical data back to Statistics Statistical inference is inference about a population from a random sample drawn from it or, more generally, about a random process from its observed behavior during a finite period of time. It includes: point estimation interval estimation hypothesis testing (or significance testing) prediction There are several distinct schools of thought about the justification of statistical inference. All are based on some idea of what real world phenomena can be reasonably modeled as probability. frequency probability personal probability Bayesian probability eclectic probability back to Statistics This article is from Wikipedia. All text is available under the terms of the GNU Free Documentation License.