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Distribution

Distribution analysis describes the distribution of a variable and makes inferences about population parameters.

  • Continuous distributions
    A continuous distribution describes a variable that can take on any numeric value (for example, weight, age, or height).
  • Discrete distributions
    A discrete distribution describes a variable that can only take discrete values (for example, the number of male and females, or the number of people with a specific eye color).
Available in Analyse-it Editions
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Ultimate edition

  •  What is Analyse-it?
  •  What's new?
  •  Administrator's Guide
  •  User's Guide
  •  Statistical Reference Guide
  •  Distribution
  •  Continuous distributions
  •  Discrete distributions
  •  Study design
  •  Compare groups
  •  Compare pairs
  •  Contingency tables
  •  Correlation and association
  •  Principal component analysis (PCA)
  •  Factor analysis (FA)
  •  Item reliability
  •  Fit model
  •  Method comparison / Agreement
  •  Measurement systems analysis (MSA)
  •  Reference interval
  •  Diagnostic performance
  •  Survival/Reliability
  •  Control charts
  •  Process capability
  •  Pareto analysis
  •  Study Designs
  •  Bibliography



Version 6.15
Published 18-Apr-2023
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Statistical analysis and method validation software for Microsoft Excel.

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