Statistical Reference Guide

The statistical reference guide describes the statistical procedures available in Analyse-it.

• Distribution
  Distribution analysis describes the distribution of a variable and makes inferences about population parameters.
• Compare groups
  Compare Groups examines independent samples and makes inferences about the differences between them.
• Compare pairs
  Compare Pairs examines related samples and makes inferences about the differences between them.
• Contingency tables
  Contingency analysis describes and visualizes the distribution of categorical variables, and makes inferences about the equality of proportions, independence of the variables, or agreement between variables.
• Correlation and association
  Correlation analysis explores the association between two or more variables and makes inferences about the strength of the relationship.
• Principal component analysis (PCA)
  Principal component analysis (PCA) reduces the dimensionality of a dataset with a large number of interrelated variables while retaining as much of the variation in the dataset as possible.
• Factor analysis (FA)
  Factor analysis (FA) explores the underlying factors (latent variables) among a large number of interrelated variables.
• Item reliability
  Item reliability is the consistency of a set of items (variables); that is to what extent they measure the same thing. When a set of items are consistent, they can make a measurement scale such as a sum scale.
• Fit model
  Fit model describes the relationship between a response variable and one or more predictor variables.
• Method comparison / Agreement
  Method comparison measures the closeness of agreement between the measured values of two methods.
• Measurement systems analysis (MSA)
  Measurement systems analysis is the study of a measurement system to ensure it can meet requirements.
• Reference interval
  A reference interval (sometimes called a reference range or normal range) describes the range of values of a measured quantity in healthy individuals.
• Diagnostic performance
  Diagnostic performance evaluates the ability of a qualitative or quantitative test to discriminate between two subclasses of subjects.
• Survival/Reliability
  Survival/reliability analyzes the time until an event of interest occurs.
• Control charts
  Control charts determine if a process is in a state of statistical control.
• Process capability
  Capability analysis measures the ability of a process to meet specifications when the process is in statistical control.
• Pareto analysis
  Pareto analysis identifies the most important quality-related problems to resolve in a process.
• Study Designs
  List of study design requirement and dataset layout for each analysis type.